A tuned hyperspectral semi-analytical algorithm for the China seas

Keping Du; ZhongPing Lee; Ying Xi; LiRan Sun; Mingxia He; Zhishen Liu

doi:10.1117/12.804824

19 December 2008 A tuned hyperspectral semi-analytical algorithm for the China seas

Keping Du, ZhongPing Lee, Ying Xi, LiRan Sun, Mingxia He, Zhishen Liu

Proceedings Volume 7150, Remote Sensing of Inland, Coastal, and Oceanic Waters; 71500A (2008) https://doi.org/10.1117/12.804824
Event: SPIE Asia-Pacific Remote Sensing, 2008, Noumea, New Caledonia

Abstract

Coastal areas of the China Seas are typical the so called case II waters or turbid waters, the retrieval and validation of the ocean color satellites' data in the China Seas have become one of the most difficult field in the ocean color remote sensing community. In this study, the semi-analytical (SA) algorithm for optically shallow water developed by Lee et al. is tuned for the China Seas using numerical simulation technique of the radiative transfer equation based on the field investigation data (China Joint Global Ocean Flux Study, JGOFS and some unpublished data) and literature of the China Seas. It is found that the tuned SA algorithm for the China Seas is better than that of Gordon et al. and Lee et al., the applicability of the tuned SA algorithm is improved in the China Sea. The percentage error between the retrieved chlorophyll concentration by the tuned SA algorithm for the China Seas and the in-situ data is about 28% using the field campaign data in the East China Sea in 1998.

Citation Download Citation

Keping Du, ZhongPing Lee, Ying Xi, LiRan Sun, Mingxia He, and Zhishen Liu "A tuned hyperspectral semi-analytical algorithm for the China seas", Proc. SPIE 7150, Remote Sensing of Inland, Coastal, and Oceanic Waters, 71500A (19 December 2008); https://doi.org/10.1117/12.804824

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