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Proceedings Paper

Ocean color retrieval based on time-series data during a red tide
Author(s): Bing Mu; Tingwei Cui; Ping Qin; Rongjie Liu; Pingjian Song; Ronger Zheng
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Paper Abstract

In complex waters, it is still a challenge to develop ocean color retrieval methods with high accuracy. In this work, we improved an Empirical Orthogonal Function (EOF) method with Equal Dimension New Information (EDNI) to retrieve chlorophyll a concentration (CHL) and phytoplankton absorption coefficient (aph(675)). EDNI was introduced to trace the variations in time-series data. EOF, combined with EDNI, helped to catch input parameters. The data used in this work were collected by optical buoy during a whole red tide in the Zhujiang (Pearl) River Estuary in August 2007. The average absolute percentage difference (APD) of CHL was 29.6%, which was smaller than those from other empirical algorithms. The APD of aph (675) were 23.8%, which was better than those from QAA_v5. In addition, we compared the results with those without EDNI, and found that the APDs of CHL and aph (675) without EDNI increased by about 20%.

Paper Details

Date Published: 24 October 2017
PDF: 9 pages
Proc. SPIE 10462, AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104621T (24 October 2017); doi: 10.1117/12.2284190
Show Author Affiliations
Bing Mu, Ocean Univ. of China (China)
Tingwei Cui, First Institute of Oceanography, SOA (China)
Ping Qin, Ocean Univ. of China (China)
Rongjie Liu, First Institute of Oceanography, SOA (China)
Pingjian Song, First Institute of Oceanography, SOA (China)
Ronger Zheng, Ocean Univ. of China (China)

Published in SPIE Proceedings Vol. 10462:
AOPC 2017: Optical Sensing and Imaging Technology and Applications
Yadong Jiang; Haimei Gong; Weibiao Chen; Jin Li, Editor(s)

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