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Exploiting the capabilities of Surfcam for coastal morphodynamic analysis

Abstract : Valentini, N.; Balouin, Y., and Bouvier, C., 2020. Exploiting the capabilities of Surfcam for coastal morphodynamic analysis. A free webcam network is used in this study, operated by ©Viewsurf, a European company with more than 1200 stations in France, among beaches, urban and mountain areas in order to assess the capabilities of surfcam for coastal morphodynamics analysis. Four representative coastal sites, with different tidal range and wave energy are monitored in order to extract optical signatures for morphodynamic analysis: three in the Atlantic and a gravel beach in the Mediterranean area. A representative site is here documented, Hendaye beach, which is characterized by a meso-tidal environment, with highly energetic waves often present, which makes the image processing challenging. Shoreline detections for beach width and intertidal area calculation are accomplished by using a new image segmentation algorithm, based on a framework, derived by opportunely coupling a superpixels algorithm and a Deep-Conditional-Neural-Network DCNN model. Aiming the exploitation of the capabilities of cBathy algorithm (Holman et al., 2013), a version of the open-source methodology (https://coastal-imaging-research-network.github.io), is employed for bathymetry reconstruction. A coupled bathymetry by merging cBathy depth estimate and intertidal reconstructed depth from automatically extracted shorelines is accomplished, which is compared with survey and lead to an RMS error of 0.43 m. Discussions are given with respect to this new potential open-source resource and its limitations.
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https://hal-brgm.archives-ouvertes.fr/hal-02430217
Contributeur : Yann Balouin <>
Soumis le : vendredi 26 juin 2020 - 10:22:57
Dernière modification le : mercredi 1 juillet 2020 - 03:19:36

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Nico Valentini, Yann Balouin, Clément Bouvier. Exploiting the capabilities of Surfcam for coastal morphodynamic analysis. Journal of Coastal Research, Coastal Education and Research Foundation, 2020, SI95, ⟨10.2112/SI95-0XX.1⟩. ⟨hal-02430217⟩

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