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Proceedings Paper

Sea surface temperature algorithm with transmittance and sea surface emissivity dependence
Author(s): H. G. Ng; M. Z. MatJafri; K. Abdullah; C. J. Wong
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Paper Abstract

The current sea surface temperature (SST) algorithms were derived empirically using a large amount of in-situ observation data. The algorithms derived had no guarantee to be used for the different regions and time. Large amount of in-situ data was required for the algorithm regression analysis. The new algorithm did not require a large amount of in-situ data. The algorithm requires additional input of transmittance and emissivity values. The transmittance depends on atmospheric profiles. The standard profile was used. The input sensor zenith angle and water vapor contents were changed within a certain range. The data were then simulated by MODTRAN to obtain the transmittance. The derived equation of sea surface emissivity as a function of sensor zenith was used. Brightness temperature, sea surface emissivity and transmittance values were use to calculate the sea surface temperature of each cloud free water pixel using an image processing software. The results show that the new algorithm produce a comparable the R2=0.6569 and RMSE= 1.24 K. The new algorithm did not require the large amount of in-situ SST data, but still can give the SST data in moderately high accuracy.

Paper Details

Date Published: 27 April 2009
PDF: 6 pages
Proc. SPIE 7334, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XV, 73341H (27 April 2009); doi: 10.1117/12.820302
Show Author Affiliations
H. G. Ng, Univ. Sains Malaysia (Malaysia)
M. Z. MatJafri, Univ. Sains Malaysia (Malaysia)
K. Abdullah, Univ. Sains Malaysia (Malaysia)
C. J. Wong, Univ. Sains Malaysia (Malaysia)


Published in SPIE Proceedings Vol. 7334:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XV
Sylvia S. Shen; Paul E. Lewis, Editor(s)

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