Quantitative Algorithm for Retrieving SST from HJ-1B Data - With Northern Sea of China as Example

Abstract:

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Sea surface data products play an important role in applications of remote sensing. Using thermal images acquired by HJ-1B launched in September 2008 and the near-real time measured data, improving the existing Mono-window Algorithm, accordingly, a new quantitative algorithm was proposed. The new algorithm was compared with Duan's algorithm in accuracy of SST retrieval in the experimental regions. Results indicated that the SST retreived by the new algorithm was closer to the measured SST data in the experimental regions than that of Duan's. For the new algorithm, average error of the retrieved SST was 0.76°C from the measured SST. As contrast, the error was 1.09°C for Duan's algorithm.

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Periodical:

Edited by:

Dongye Sun, Wen-Pei Sung and Ran Chen

Pages:

1993-1996

DOI:

10.4028/www.scientific.net/AMM.71-78.1993

Citation:

X. Wang et al., "Quantitative Algorithm for Retrieving SST from HJ-1B Data - With Northern Sea of China as Example", Applied Mechanics and Materials, Vols. 71-78, pp. 1993-1996, 2011

Online since:

July 2011

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$35.00

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