Long-Term Automated Monitoring of Nearshore Wave Height From Digital Video

This paper presents a new method for estimating nearshore wave height from a digital video sequence. The method identifies main wave breaking zones in the video records and estimates the height of breaking waves inside the detected breaking zones. A geometric rectification is applied to the resulting estimation to convert the height measurement from image pixels to meters. The validation of the algorithm was undertaken over three months at Surfers Paradise, Australia. The performance of the algorithm was demonstrated to be comparable with that of buoy-measured wave height, as well as manual estimates of the onshore wave height by a surf reporter. The results indicate that the method can be used as a cost-effective tool for long-term monitoring of nearshore wave conditions.

[1]  Donald G. Bailey,et al.  Automated Detection of Breaking Wave Height Using an Optical Technique , 2012 .

[2]  A. Yezzi,et al.  Offshore stereo measurements of gravity waves , 2012 .

[3]  K. Bryan,et al.  Monitoring Beach Face Volume with a Combination of Intermittent Profiling and Video Imagery , 2007 .

[4]  Andrew D. Short,et al.  Australian Beach Systems—Nature and Distribution , 2006 .

[5]  Rafael C. González,et al.  Local Determination of a Moving Contrast Edge , 1985, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[6]  D. Lirman,et al.  Geospatial Video Monitoring of Nearshore Benthic Habitats of Western Biscayne Bay (Florida) Using the Shallow-Water Positioning System (SWaPS) , 2008 .

[7]  Robert A. Holman,et al.  Developing Coastal Video Monitoring Systems In Support of Coastal Zone Management , 2004 .

[8]  Ian L Turner,et al.  A video-based technique for mapping intertidal beach bathymetry , 2003 .

[9]  Robert A. Holman,et al.  Video estimation of subaerial beach profiles , 1991 .

[10]  J. Aucan,et al.  An Empirical Method for Estimating Surf Heights from Deepwater Significant Wave Heights and Peak Periods in Coastal Zones with Narrow Shelves, Steep Bottom Slopes, and High Refraction , 2007 .

[11]  Andrew D. Short,et al.  Handbook of beach and shoreface morphodynamics , 1999 .

[12]  D. Hill,et al.  Remote sensing of surf zone waves using stereo imaging , 2011 .

[13]  Andrew K. C. Wong,et al.  A gray-level threshold selection method based on maximum entropy principle , 1989, IEEE Trans. Syst. Man Cybern..

[14]  Paul Wintz,et al.  Digital image processing (2nd ed.) , 1987 .

[15]  Mark Merrifield MEASURING BREAKING WAVE HEIGHTS USING VIDEO A THESIS SUBMITTED TO THE GLOBAL ENVIORNMENTAL SCIENCE UNDERGRADUATE DIVISION OF THE UNIVERSITY OF HAWAI’I AT MANOA IN PARTIAL FULFULLMENT OF THE REQUIREMENTS FOR THE DEGREE OF BACHELOR OF SCIENCE , 2005 .

[16]  Hilary F. Stockdon,et al.  Empirical parameterization of setup, swash, and runup , 2006 .

[17]  David Williams,et al.  The arrangement of the three cone classes in the living human eye , 1999, Nature.

[18]  N. Booij,et al.  A prediction model for stationary, short-crested waves in shallow water with ambient currents , 1989 .

[19]  Michael Blumenstein,et al.  Near-shore swell estimation from a global wind-wave model: Spectral process, linear, and artificial neural network models , 2007 .

[20]  Yaniv Gal,et al.  A new system for breakzone location and the measurement of breaking wave heights and periods. , 2010, 2010 IEEE International Geoscience and Remote Sensing Symposium.

[21]  Grant B. Deane,et al.  A robust single-cable sensor array for oceanographic use , 2002 .

[22]  Giovanni Coco,et al.  Observations of alongshore variability of swash motions on an intermediate beach , 2012 .

[23]  Michael Blumenstein,et al.  Objective Beach-State Classification From Optical Sensing of Cross-Shore Dissipation Profiles , 2006, IEEE Transactions on Geoscience and Remote Sensing.

[24]  R. Holman,et al.  Estimation of wave phase speed and nearshore bathymetry from video imagery , 2000 .

[25]  Steven A. Hughes,et al.  Duck85 photopole experiment , 1987 .

[26]  Gil Lim Yoon,et al.  Nearshore Wave Measurement Using Single-Video Images of Buoy Motions , 2008 .

[27]  G. Simarro,et al.  Decoupling spatial and temporal patterns in short-term beach shoreline response to wave climate , 2011 .

[28]  Michael K. Gaughan,et al.  AIRY WAVE THEORY AND BREAKER HEIGHT PREDICTION , 1972 .

[29]  Robert A. Holman,et al.  THE APPLICATION OF VIDEO IMAGE PROCESSING TO THE STUDY OF NEARSHORE PROCESSES , 1993 .

[30]  Nathaniel G. Plant,et al.  Comparison of Visual Observations of Wave Height and Period to Measurements Made by an Offshore Slope Array , 1992 .

[31]  Nathaniel G. Plant,et al.  Practical use of video imagery in nearshore oceanographic field studies , 1997 .

[32]  Ian L Turner,et al.  The Performance of Shoreline Detection Models Applied to Video Imagery , 2007 .

[33]  Ahmed S. Abutableb Automatic thresholding of gray-level pictures using two-dimensional entropy , 1989 .