A video-based technique for mapping intertidal beach bathymetry

Aarninkhof, S.G.J.; Turner, Ian L.; Dronkers, Thomas D.T; Caljouw, Mark; Nipius, Leann

doi:10.1016/s0378-3839(03)00064-4

Cited by 227 publications

(167 citation statements)

References 9 publications

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“…Integrating the RMS errors associated with the cross-shore location only (Section 3.4), total RMSE are still under 1 m for both M1 (0.87 m) and M2 (0.60 m). The shoreline elevation model M2 thus shows a closer relationship between the real displacements observed on the beach with the LiDAR, and further agrees with the conclusions of Aarninkhof et al [42], stating that their detection technique (the Hue-Saturation-Value (HSV) method) identifies a shoreline at the higher end of the runup excursion. As also noted above, the results presented here using the Almar's shoreline detection technique [38] justify the integration of waves as a proxy to runup into the shoreline elevation estimation.…”

Section: Spatiotemporal Analysis Of the Morphological Evolutionsupporting

confidence: 75%

“…Similarly, Uunk et al [36] mentioned elevation RMS errors between 0.28 and 0.34 m, the highest values being observed with a completely automated method. These uncertainties may in fact result from the underlying empirical relationships relating shoreline elevations to offshore wave characteristics and water levels [42]. Instead of assuming empirical relationships to estimate the shoreline elevations, the similar approach applied here uses in-situ water levels and only small wave heights (<0.15 m).…”

Section: Comparing Video-to Lidar-based Topographymentioning

confidence: 99%

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LiDAR Validation of a Video-Derived Beachface Topography on a Tidal Flat

et al. 2017

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Increasingly used shore-based video stations enable a high spatiotemporal frequency analysis of shoreline migration. Shoreline detection techniques combined with hydrodynamic conditions enable the creation of digital elevation models (DEMs). However, shoreline elevations are often estimated based on nearshore process empirical equations leading to uncertainties in video-based topography. To achieve high DEM correspondence between both techniques, we assessed video-derived DEMs against LiDAR surveys during low energy conditions. A newly installed video system on a tidal flat in the St. Lawrence Estuary, Atlantic Canada, served as a test case. Shorelines were automatically detected from time-averaged (TIMEX) images using color ratios in low energy conditions synchronously with mobile terrestrial LiDAR during two different surveys. Hydrodynamic (waves and tides) data were recorded in-situ, and established two different cases of water elevation models as a basis for shoreline elevations. DEMs were created and tested against LiDAR. Statistical analysis of shoreline elevations and migrations were made, and morphological variability was assessed between both surveys. Results indicate that the best shoreline elevation model includes both the significant wave height and the mean water level. Low energy conditions and in-situ hydrodynamic measurements made it possible to produce video-derived DEMs virtually as accurate as a LiDAR product, and therefore make an effective tool for coastal managers.

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Section: Spatiotemporal Analysis Of the Morphological Evolutionsupporting

confidence: 75%

Section: Comparing Video-to Lidar-based Topographymentioning

confidence: 99%

LiDAR Validation of a Video-Derived Beachface Topography on a Tidal Flat

et al. 2017

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“…It is possible to use Argus imagery to extract volumes. For example, it is feasible to detect water lines at different stages of the tide to build up a digital elevation model of the intertidal zone (e.g., Aarninkhof et al, 2003). Similarly, breaking patterns can be inverted into depth estimates (e.g., Van Dongeren et al, 2008).…”

Section: Discussionmentioning

confidence: 99%

Nearshore evolution at Noordwijk (NL) in response to nourishments, as inferred from Argus video imagery

Ruessink

Grinten

Vonhögen-Peeters

et al. 2012

NCK-days 2012 : Crossing Borders in Coastal Research : Jubilee Conference Proceedings

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We use an approximately 16-year long data set of daily low-tide video images to examine the effect of three consecutive nourishments on the temporal evolution of the subtidal sandbars and the low-tide water line at Noordwijk, The Netherlands. The data set starts in 1995, with shoreface nourishments implemented in 1998 and in 2006, and a "Zwakke Schakel" beach nourishment in 2007/2008. We find that, consistent with observations elsewhere, the shoreface nourishments halted the interannual, net-seaward migration of the two sandbars. Also, the first nourishment resulted in large-scale sandbar variability known as bar switching. The beach nourishment had no effect on the sandbars, other than an immediate 50-m seaward shift of the low-tide waterline and the inner sandbar. Neither the shoreface nor the beach nourishments were found to result in an increase or decrease in the number and cross-shore extent of rip channels. On the whole, the successive nourishments have reduced the natural dynamics of the Noordwijk coastal system.

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“…An example of this relates to erroneous predictions of a feeder current effecting the strength and timing of the associated rip current. An Argusbased tool for the estimation of intertidal bathymetry using shoreline tracking has been described by Aarninkhof et al (2003) and Uunk et al (2010). Future research will focus on incorporating this source of up-to-date RS bathymetry in the numerical model simulations.…”

Section: Discussionmentioning

confidence: 99%