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2012 (Vol. 4, Issue: 24)
Article Information:

Estimation of Significant Wave Height Using Satellite Data

R.D. Sathiya and V. Vaithiyanathan
Corresponding Author:  R.D. Sathiya 

Key words:  Back propagation, neurons, neural network, OceanSAT, radar scatterometers, Significant Wave Height [SWH],
Vol. 4 , (24): 5332-5338
Submitted Accepted Published
March 18, 2012 April 23, 2012 December 15, 2012

Among the different ocean physical parameters applied in the hydrographic studies, sufficient work has not been noticed in the existing research. So it is planned to evaluate the wave height from the satellite sensors (OceanSAT 1, 2 data) without the influence of tide. The model was developed with the comparison of the actual data of maximum height of water level which we have collected for 24 h in beach. The same correlated with the derived data from the earlier satellite imagery. To get the result of the significant wave height, beach profile was alone taking into account the height of the ocean swell, the wave height was deduced from the tide chart. For defining the relationship between the wave height and the tides a large amount of good quality of data for a significant period is required. Radar scatterometers are also able to provide sea surface wind speed and the direction of accuracy. Aim of this study is to give the relationship between the height, tides and speed of the wind, such relationship can be useful in preparing a wave table, which will be of immense value for mariners. Therefore, the relationship between significant wave height and the radar backscattering cross section has been evaluated with back propagation neural network algorithm.
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  Cite this Reference:
R.D. Sathiya and V. Vaithiyanathan, 2012. Estimation of Significant Wave Height Using Satellite Data.  Research Journal of Applied Sciences, Engineering and Technology, 4(24): 5332-5338.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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