Space-Time Imaging of Shoaling Waves and Surf

Abstract

A fundamental barrier to consequential evaluation of modem, very capable shoaling wave and surf models has been the inability to provide high-quality ocean data with which to test model results. This paper describes a development intended to satisfy this need by providing space-time visible images of the nearshore from which three parameters crucial to such evaluations are simultaneously retrieved. These fields are the wave spectrum, bathymetry and currents. A panchromatic digital framing camera has been mounted on a small aircraft and used to collect time series of images of waves as they shoal and break. The camera system is controlled by a computer-driven turret which provides accurate location and pointing angles so that the images can be mapped to the mean water level on a common geodetic reference surface. This effectively separates space and time variations associated with the waves. The resulting time series imagery can be mapped and displayed much like a movie taken from a sky hook. These data are used with algorithms to retrieve the ocean parameters of interest, specifically the wave spectrum, water depth and currents. The 3-D frequency-wavenumber spectrum is calculated in sub-regions of the nominal 2 km scene, and the theoretical dispersion relation for linear gravity waves is fit to the spectrum, with the local water depth and current as free parameters.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2001
Accession Number
ADA393946

Entities

People

  • Cindy Piotrowski
  • John Dugan
  • K. Todd Holland
  • Zandy Williams

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Abstracts
  • Aircrafts
  • Algorithms
  • Bathymetry
  • Classification
  • Computers
  • Department Of Defense
  • Dispersion Relations
  • Earth Sciences
  • Frequency
  • Government (Foreign)
  • Governments
  • Gravity Waves
  • Military Research
  • Test And Evaluation
  • Three Dimensional
  • Waves

Readers

  • Atmospheric Science / Meteorology, specifically Wind Wave Turbulence.
  • Image Processing and Computer Vision.
  • Oceanography.

Technology Areas

  • Space