Determining depth from remotely-sensed images

Robert A. Dalrymple*, Andrew B. Kennedy, James T. Kirby, Qin Chen

*Corresponding author for this work

Research output: Contribution to journalArticle

15 Scopus citations

Abstract

Remotely-sensed images can provide synoptic or nearly synoptic data for large areas of the sea surface. Photographic and, more recently, radar measurement techniques can resolve the pattern of waves on the water surface and can provide a very dense sampling of kinematical variables of interest, ranging from a complete picture of the wave phase (in the case of single photographs) to horizontal velocity components at the water surface resulting from wind, tides, or waves (in the case of advanced radar techniques). When applied in the coastal zone, these images contain surface waves that are propagating over a complex bottom bathymetry and current field, and that are affected by a combination of shoaling, refraction, diffraction and nonlinear processes. This paper examines two methods to determine bathymetry from surface elevation information. The first is to examine the ability of linear dispersion relationship models to determine bathymetry, in cases with refraction and diffraction, and the second, based on lagged correlation method (and several images), is more generally useful for application.

Original languageEnglish (US)
Pages (from-to)2395-2408
Number of pages14
JournalProceedings of the Coastal Engineering Conference
Volume2
StatePublished - Dec 1 1998

ASJC Scopus subject areas

  • Ocean Engineering

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