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Remote Sens. 2017, 9(8), 826; doi:10.3390/rs9080826

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

Québec-Océan, Centre d’études nordiques, Chaire de Recherche en Géoscience Côtière, Université du Québec à Rimouski, Rimouski, QC G5L 3A1, Canada
Laboratoire Géosciences Océan UMR 6538, Institut Universitaire Européen de la mer, Université de Bretagne Occidentale, Brest, 29280 Plouzané, France
Institut des Sciences de la mer de Rimouski, Université du Québec à Rimouski, Québec-Océan, Physique des Océans—Laboratoire de Rimouski, Rimouski, QC, G5L 3A1, Canada
Author to whom correspondence should be addressed.
Received: 26 June 2017 / Revised: 1 August 2017 / Accepted: 7 August 2017 / Published: 11 August 2017
View Full-Text   |   Download PDF [22252 KB, uploaded 11 August 2017]   |  


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. View Full-Text
Keywords: video monitoring; shoreline detection; beach morphology; mobile terrestrial LiDAR; erosion; Atlantic Canada video monitoring; shoreline detection; beach morphology; mobile terrestrial LiDAR; erosion; Atlantic Canada

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Didier, D.; Bernatchez, P.; Augereau, E.; Caulet, C.; Dumont, D.; Bismuth, E.; Cormier, L.; Floc’h, F.; Delacourt, C. LiDAR Validation of a Video-Derived Beachface Topography on a Tidal Flat. Remote Sens. 2017, 9, 826.

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