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An OLCI-based algorithm for semi-empirically partitioning absorption coefficient and estimating chlorophyll a concentration in various turbid case-2 waters
Liu, Ge1,2; Li, Lin4; Song, Kaishan1; Li, Yunmei2; Lyu, Heng2; Wen, Zhidan1; Fang, Chong1; Bi, Shun2; Sun, Xiaoping3; Wang, Zongming1; Cao, Zhigang5; Shang, Yingxin1; Yu, Gongliang6; Zheng, Zhubin2; Huang, Changchun2; Xu, Yifan7; Shi, Kun5
2020-03-15
Source PublicationREMOTE SENSING OF ENVIRONMENT
ISSN0034-4257
Volume239Issue:1Pages:26
Abstract

Accurate remote assessment of phytoplankton chlorophyll-a (Chla) concentration in turbid case-2 waters is a challenge, owing largely to terrestrial substances (such as minerals and humus) that are optically significant but do not co-vary with phytoplankton. Here, we propose an improved Quasi-Analytical Algorithm (QAA) (denoted as TC2) for retrieving Chla concentrations from remote sensing reflectance (R-rs(lambda)) which can be applied to Sentinel-3 Ocean and Land Colour Instrument (OLCI) images in turbid case-2 waters. TC2 has two main extensions when compared with QAA. First, TC2 makes an additional assumption to separate the total non-water absorption at 665 nm (a(nw)(665)) into phytoplankton absorption (a(ph)(665)) and yellow matter (a(ym)(665)), which is the sum of colored dissolved matter (CDOM) and detritus. Second, for selecting the position of the near-infrared (NIR) band which is used to estimate the signal of total backscattering coefficient (b(b)(lambda(0))) at QAA reference band (lambda(0)), we take into account the assumption that the absorption of pure water should be dominant at this band, as well as the impact of the signal-to-noise ratio (SNR) in the NIR band on the Chla concentration estimating model. When applied to in situ R-rs(lambda) and OLCI match-up R-rs(lambda) data in this study, TC2 provided more accurate Chla estimation than previous Cha concentration retrieval algorithms for turbid case-2 waters. TC2 has the potential for use as a simple and effective algorithm for monitoring Chla concentrations in the turbid case-2 waters at a global scale from space.

KeywordTurbid case-2 waters Chla concentrations Yellow matter OLCI
DOI10.1016/j.rse.2020.111648
Indexed BySCI
Language英语
WOS Research AreaEnvironmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology
WOS SubjectEnvironmental Sciences ; Remote Sensing ; Imaging Science & Photographic Technology
WOS IDWOS:000518694400024
WOS KeywordBIOOPTICAL PARAMETER VARIABILITY ; RESOLUTION IMAGING SPECTROMETER ; INHERENT OPTICAL-PROPERTIES ; QUASI-ANALYTICAL ALGORITHM ; REMOTE-SENSING ALGORITHMS ; DISSOLVED ORGANIC-MATTER ; TERM MODIS OBSERVATIONS ; PRODUCTIVE WATERS ; CELL-SIZE ; PIGMENT CONCENTRATIONS
PublisherELSEVIER SCIENCE INC
Citation statistics
Cited Times:4[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ihb.ac.cn/handle/342005/35813
Collection藻类生物学及应用研究中心_期刊论文
Corresponding AuthorLi, Yunmei
Affiliation1.Chinese Acad Sci, Northeast Inst Geog & Agr Ecol, Changchun 130102, Jilin, Peoples R China
2.Nanjing Normal Univ, Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Jiangsu, Peoples R China
3.Yangzhou Environm Monitoring Ctr Stn, Yangzhou 225007, Jiangsu, Peoples R China
4.Indiana Univ Purdue Univ, Dept Earth Sci, Indianapolis, IN 46202 USA
5.Chinese Acad Sci, Nanjing Inst Geog & Limnol, Nanjing 210008, Jiangsu, Peoples R China
6.Chinese Acad Sci, Inst Hydrobiol, Wuhan 430072, Hubei, Peoples R China
7.Nanjing Hydraul Res Inst, State Key Lab Hydrol Water Resources & Hydraul En, Nanjing 210029, Jiangsu, Peoples R China
Recommended Citation
GB/T 7714
Liu, Ge,Li, Lin,Song, Kaishan,et al. An OLCI-based algorithm for semi-empirically partitioning absorption coefficient and estimating chlorophyll a concentration in various turbid case-2 waters[J]. REMOTE SENSING OF ENVIRONMENT,2020,239(1):26.
APA Liu, Ge.,Li, Lin.,Song, Kaishan.,Li, Yunmei.,Lyu, Heng.,...&Shi, Kun.(2020).An OLCI-based algorithm for semi-empirically partitioning absorption coefficient and estimating chlorophyll a concentration in various turbid case-2 waters.REMOTE SENSING OF ENVIRONMENT,239(1),26.
MLA Liu, Ge,et al."An OLCI-based algorithm for semi-empirically partitioning absorption coefficient and estimating chlorophyll a concentration in various turbid case-2 waters".REMOTE SENSING OF ENVIRONMENT 239.1(2020):26.
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