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

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.

  Info
Periodical
Chapter
Chapter 4: Frontiers of Energy Engineering and Materials
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, D. Z. Zhao, J. H. Yang, L. Zhao, "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
Keywords
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