Remote sensing classification of the dominant optically active components and its variations in the Pearl River Estuary

Jiang Guangjia; Duan Guoqin; Huang Zhixiong; Cai Weixu; Lu Chuqian; Su Wen; Yang Jie; Zhang Chunchao

doi:10.3969/j.issn.0253-4193.2016.09.007

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Jiang Guangjia, Duan Guoqin, Huang Zhixiong, Cai Weixu, Lu Chuqian, Su Wen, Yang Jie, Zhang Chunchao. Remote sensing classification of the dominant optically active components and its variations in the Pearl River Estuary[J]. Haiyang Xuebao, 2016, 38(9): 64-75. doi: 10.3969/j.issn.0253-4193.2016.09.007

Citation:

Jiang Guangjia, Duan Guoqin, Huang Zhixiong, Cai Weixu, Lu Chuqian, Su Wen, Yang Jie, Zhang Chunchao. Remote sensing classification of the dominant optically active components and its variations in the Pearl River Estuary[J]. Haiyang Xuebao, 2016, 38(9): 64-75. doi: 10.3969/j.issn.0253-4193.2016.09.007

Citation:

Jiang Guangjia, Duan Guoqin, Huang Zhixiong, Cai Weixu, Lu Chuqian, Su Wen, Yang Jie, Zhang Chunchao. Remote sensing classification of the dominant optically active components and its variations in the Pearl River Estuary[J]. Haiyang Xuebao, 2016, 38(9): 64-75. doi: 10.3969/j.issn.0253-4193.2016.09.007

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Remote sensing classification of the dominant optically active components and its variations in the Pearl River Estuary

doi: 10.3969/j.issn.0253-4193.2016.09.007

1.
South China Sea Environment Monitoring Center, State Oceanic Administration, Guangzhou 510300, China
2.
Hongkong-Zhuhai-Macao Bridge Authority, Zhuhai 519015, China
3.
South China Sea Institute of Planning and Environmental Research, State Oceanic Administration, Guangzhou 510310, China

Received Date: 2015-11-16
Rev Recd Date: 2016-02-29

Abstract

Abstract

Based on the field and laboratory bio-optical datasets from the May and August cruises in the Pearl River Estuary in 2014, the variability of bio-optical parameters was analyzed to examine the dominant optically active components in a highly turbid water. Using the simulated and field MODIS data, the retrieval algorithms for estimation of the absorption coefficients at a specific wavelength of water components were developed and classified following the IOCCG reports, to assess the spatial and temporal variability of dominant optically active components in the Pearl River Estuary. The results demonstrated that a_d, a_g or both of them (a_dg) dominated the optical properties of water in this estuary, with a_dg accounting for an average of 76.9% in 2011, followed by a_g and a_d. Furthermore, a_d(442) and a_dg(442) were both well positively correlated with c_ISS, which were shown to provide comparable information on CDOM and detritus present.
- remote sensing,
- inherent optical properties,
- estuary,
- case Ⅱ waters

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References(32)

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