24 October 2017 Ocean color retrieval based on time-series data during a red tide
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Proceedings Volume 10462, AOPC 2017: Optical Sensing and Imaging Technology and Applications; 104621T (2017) https://doi.org/10.1117/12.2284190
Event: Applied Optics and Photonics China (AOPC2017), 2017, Beijing, China
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%.
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Bing Mu, Bing Mu, Tingwei Cui, Tingwei Cui, Ping Qin, Ping Qin, Rongjie Liu, Rongjie Liu, Pingjian Song, Pingjian Song, Ronger Zheng, Ronger Zheng, } "Ocean color retrieval based on time-series data during a red tide", Proc. SPIE 10462, AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104621T (24 October 2017); doi: 10.1117/12.2284190; https://doi.org/10.1117/12.2284190
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