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

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 al...

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Bibliographic Details
Published inApplied Mechanics and Materials Vol. 71-78; pp. 1993 - 1996
Main Authors Zhao, Dong Zhi, Zhao, Ling, Wang, Xiang, Yang, Jian Hong
Format Journal Article
LanguageEnglish
Published Zurich Trans Tech Publications Ltd 01.07.2011
Subjects
HJ-1B
SST
Single-Channel
Online AccessGet full text
ISBN9783037852033
3037852038
ISSN1660-9336
1662-7482
1662-7482
DOI10.4028/www.scientific.net/AMM.71-78.1993

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Summary: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.
Bibliography:Selected, peer reviewed papers from the 2011 International Conference on Green Building, Materials and Civil Engineering, (GBMCE 2011), Shangri-La, China, August 22-23, 2011
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ISBN:9783037852033
3037852038
ISSN:1660-9336
1662-7482
1662-7482
DOI:10.4028/www.scientific.net/AMM.71-78.1993