Table of Contents
ISRN Oceanography
Volume 2013 (2013), Article ID 157526, 6 pages
Research Article

A Numerical Technique to Estimate Water Depths from Remotely Sensed Water Wave Characteristics

Faculty of Engineering, Cairo University, Giza 12613, Egypt

Received 16 February 2013; Accepted 5 June 2013

Academic Editors: S. Focardi and S. Ishman

Copyright © 2013 K. M. Fassieh. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


This paper describes a numerical technique to estimate water depths from remotely sensed water wave characteristics. Two depth inversion models have been developed based on both linear and nonlinear dispersion relations. A simplified technique to get wave height distribution from remotely sensed water surface elevations is presented. Synthetic input data are generated using a refraction-diffraction numerical model. In intermediate water depths, there is good agreement between actual and estimated depths (relative errors are of order 10%). It is shown that depth inversion using linear dispersion relation overestimates water depth near shoreline. The nonlinear model is seen to improve the inverted depth by 10% and could retrieve two-dimensional depth profile.