Foredune Classification and Storm Response: Automated Analysis of Terrestrial Lidar Dems

Brodie, Katherine L.; Spore, Nicholas J.

doi:10.1142/9789814689977_0041

Cited by 11 publications

(16 citation statements)

References 10 publications

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“…Moreover, an alongshore increase in dune erosion from 5 to 40 m 3 /m within 200 m was found by [6]. The influence of foredune shape on dune erosion has been demonstrated to vary over spatial scales of O(10-100 m) by [11]. In the latter examples, variability in near-shore (sandbar) and beach topography resulted in variable exposure of the foredune to high waves with more dissipation and hence less dune erosion at wider beaches.…”

Section: Introductionmentioning

confidence: 94%

“…The aim of this study is to investigate the use of Mobile Laser Scanning (MLS) to obtain topographic data of a beach-foredune system and to determine their usability to study changes in beach dune topography and dune volume at the indicated spatial and temporal scales. Earlier studies of coastal systems presented in [11,28,29] have demonstrated the potential of MLS for coastal monitoring. However, coastal MLS surveys have yet to be used to systematically study changes over a long period of time with high temporal resolution.…”

Section: Introductionmentioning

confidence: 99%

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Spatio-Temporal Variations in Foredune Dynamics Determined with Mobile Laser Scanning

Donker

Maarseveen

Ruessink

2018

JMSE

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Coastal foredunes are highly dynamic landforms because of rapid erosion by waves and currents during storm surges in combination with gradual accretion by aeolian transport during more quiescent conditions. While our knowledge into the mechanisms behind foredune erosion have reached considerable maturity, this is not the case for foredune growth. High resolution spatio-temporal data sets of beach and foredune topography, which are needed to increase our understanding of mechanisms behind aeolian transport in coastal environments and to develop predictive dune-accretion models, are scarce. Here we aim to illustrate that repeated Mobile Laser Scanning (MLS) surveys provide an accurate and robust method to study detailed changes in dune volume on the timescales of months to years. An MLS system attached to an inertial navigation system with RTK-GPS (INS-GPS) was used to carry out 13 surveys along a 3.5-km Dutch beach over a 2.5-year period. The height observations were post-processed and averaged into 1 × 1 m Digital Elevation Models (DEMs). Comparison with airborne LiDAR and RTK-GPS data revealed that the obtained DEMs were accurate and robust up to a height of 15 m in the foredune above which dense vegetation hampers the MLS to see the sand surface. Estimates of dune volume change of the lower 13 m of the foredune have an uncertainty of about 0.25 m 3 /m. Time series of dune volume change show that at our study site the foredune accretes throughout the year at similar rates (10 m 3 /m/year), while marine erosion is obviously confined to storm surges. Foredune accretion and erosion vary spatially, which can, in part, be related to variations in beach width.

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Section: Introductionmentioning

confidence: 94%

Section: Introductionmentioning

confidence: 99%

Spatio-Temporal Variations in Foredune Dynamics Determined with Mobile Laser Scanning

Donker

Maarseveen

Ruessink

2018

JMSE

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“…Winds at the FRF pier peaked at over 25 m/s, and significant wave heights were over 6 m at the 17 m Waverider buoy (Figure 3-5). The dunes on the FRF property and surrounding area saw significant retreat during the storm due to extended periods of wave runup (Brodie and Spore 2015). After the storm, a number of property owners in this area performed beach scrapes and brought in additional sand to rebuild their dunes before winter (Brodie and Spore 2015).…”

Section: : Hurricane Sandymentioning

confidence: 99%

Coastal Lidar and Radar Imaging System (CLARIS) lidar data report : 2011 - 2017

Spore¹,

Renaud²,

Conery³

et al. 2019

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Coastal Lidar and Radar Imaging System between 2011 and 2017 along the northern Outer Banks of North Carolina near the CHL Field Research Facility. The report briefly describes the system and study site as well as the survey data extents, collection dates, and environmental context and data access information for the point cloud and digital elevation model products. Initial morphology data products and initial analyses are presented including calculations of shoreline change, dune volume, beach volume, beach slope, and cumulative elevation change over the 6-year study period. Follow-on reports will update the description of the available data repository moving forward. DISCLAIMER: The contents of this report are not to be used for advertising, publication, or promotional purposes. Citation of trade names does not constitute an official endorsement or approval of the use of such commercial products. All product names and trademarks cited are the property of their respective owners. The findings of this report are not to be construed as an official Department of the Army position unless so designated by other authorized documents.

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“…These techniques can be expanded to calculate beach/berm widths, slopes, and dune toe and dune crest positions. Automated algorithms have also been developed to assess the various morphological parameters of the foredune from terrestrial lidar based DEMs (Brodie and Spore 2015). Figure 18 show an example of an automated dune state classification product based on the dune toe and dune crest elevations, dune slope, volume, and curvature from the terrestrial lidar data.…”

Section: Example Productsmentioning

confidence: 99%

Collection, processing, and accuracy of mobile terrestrial lidar survey data in the coastal environment

Spore¹,

Brodie²

2017

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The purpose of this Coastal and Hydraulics Engineering technical report is to present how elevation data is collected along the coast using terrestrial lidar scanners coupled with a global position system/inertial navigation system and assess the accuracy of the data. A brief overview of the technology utilized on the vehicle platform is presented, along with upcoming improvements. This is followed by a description of the data processing techniques utilized to create three-dimensional point clouds. Subsequent to that is a presentation of an accuracy assessment to provide an overall system performance summary and provide a few examples of data products and their uses. The accuracy assessment of the system resulted in a mean horizontal error of 0.075 meter (m), mean vertical error of 0.099 m, mean total error of 0.129 m, and an average repeatability of 0.05 m. The results of this report suggest that assigning a single accuracy value to a mobile lidar survey may misrepresent some of the spatially variable error throughout the survey, and further work should incorporate full error propagation to each point.

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Foredune Classification and Storm Response: Automated Analysis of Terrestrial Lidar Dems

Cited by 11 publications

References 10 publications

Spatio-Temporal Variations in Foredune Dynamics Determined with Mobile Laser Scanning

Spatio-Temporal Variations in Foredune Dynamics Determined with Mobile Laser Scanning

Coastal Lidar and Radar Imaging System (CLARIS) lidar data report : 2011 - 2017

Collection, processing, and accuracy of mobile terrestrial lidar survey data in the coastal environment

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