Nearshore Bathymetry Estimation Using Video Coastal Monitoring System

Muhammad Zikra


The invention of new digital technology of images from video camera systems now can provide information of the shoreward propagation of wave using pixel intensity time series that collected at cross-shore array. From this video image of intensity data, we can measure the wave speed (or, equivalent to wave number). Then the local water depth is inferred from linear wave theory dispersion relation equation. This paper describes the cross-spectral correlation approach scheme for investigating wave speed or equivalent wave number from video image data sets. The approach based on a pixel array analysis that utilizes a nonlinear inverse method. The solution is tolerant to noise and other forms of sampling deficiency. The solution includes error predictions that can be used to evaluate sample designs (data gaps) and the signal coherence. The technique was tested using 30 days of hourly data collected at Egmond beach, Netherlands. The result showed that the method have capability to derive wave number prediction from pixel intensity time series to support bathymetry estimation in near shore area through inversion of an appropriate wave dispersion model.


Video Imagery; Wavenumber; Nearshore Bathymetry

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Holman, R.A and J. Stanley, ‘The history and technical capabilities of Argus’, Coastal Engineering, 54, 477-491. 1991

Aarninkhof, S.G.J. and Holman, R.A., (1999), ‘Monitoring the nearshore with video’. Backscatter, vol. 10(2), pp. 8-11. 1999

Holland, K.T, R.A. Holman, T.C. Lipmann, J. Stanley and Plant,, ‘Practical use of video imagery in nearshore oceanography’,

IEEE J. Oceanic Engineering, 22(1), 81-92. 1997

Holman, R.A., T.C. Lippmann, P.V. O'Neill, and K. Hathaway., ‘Video estimation of subaerial beach profiles’, Marine Geology, 97, 225-231. 1991

Lippmann, T.C., and R.A. Holman., ‘Quantification of sand bar morphology: A video technique based on wave dissipation’, Journal of Geophysical Research, 94 (C1), 995-1011. 1989

Stockdon, H.F. and Holman, R.A., ‘Estimation of wave phase speed and nearshore bathymetry from video imagery’, Journal of

Geophysical Research 105, pp. 22015-22033.

Zikra, M., Application of wavenumber estimation model using video observation from Egmond aan. 2008

Plant, N.G., K. T. Holman, M. C. Haller., ‘Development of wavenumber estimation methods applied to coastal motion

imagery’, IEEE Transactions on Geoscience and Remote Sensing, 25p. 2007

Bendat, J.S., and A.G. Piersol., Random Data: Analysis & Measurement Techniques, 566 pp., Wiley Intersci., New York.

Menke, W., Geophysical Data Analysis: Discrete Inverse Theory, Academic Press. 1989.

Munk, W, Worcester, W, and Wunsch, C., Ocean Acoustic Tomography, Cambridge University Press. 1995

Press, W.H, Teukolsky, S.A, Vetterling, W.T, and Flannery, B.P, Numerical Recipes in C: the art of scientific computing, 2nd ed,

Cambridge University Press. 1992.

Dean, R.G., and R. A. Dalrymple. Water Waves Mechanics for Engineer and Scientist, 353 pp., World Sci., River Edge, N.J.



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