FN Archimer Export Format
PT J
TI LiDAR Validation of a Video-Derived Beachface Topography on a Tidal Flat
BT 
AF DIDIER, David
   BERNATCHEZ, Pascal
   AUGEREAU, Emmanuel
   CAULET, Charles
   DUMONT, Dany
   BISMUTH, Eliott
   CORMIER, Louis
   FLOC'H, France
   DELACOURT, Christophe
AS 1:1;2:1;3:2;4:2;5:3;6:1;7:1;8:2;9:2;
FF 1:;2:;3:;4:;5:;6:;7:;8:;9:;
C1 Univ Quebec Rimouski, Quebec Ocean, Ctr Etud Nord, Chaire Rech Geosci Cotiere, Rimouski, PQ G5L 3A1, Canada.
   Univ Bretagne Occidentale, Inst Univ Europeen mer, UMR 6538, Lab Geosci Ocean, F-29280 Plouzane, France.
   Univ Quebec Rimouski, Inst Sci Mer Rimouski, Quebec Ocean, Phys Oceans Lab Rimouski, Rimouski, PQ G5L 3A1, Canada.
C2 UNIV QUEBEC RIMOUSKI, CANADA
   UBO, FRANCE
   UNIV QUEBEC (UQAR-ISMER), CANADA
UM LGO
IN DOAJ
IF 3.406
TC 15
UR https://archimer.ifremer.fr/doc/00638/75022/75656.pdf
LA English
DT Article
DE ;video monitoring;shoreline detection;beach morphology;mobile terrestrial LiDAR;erosion;Atlantic Canada
AB 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. 
PY 2017
PD AUG
SO Remote Sensing
SN 2072-4292
PU Mdpi
VL 9
IS 8
UT 000408605600064
DI 10.3390/rs9080826
ID 75022
ER

EF