An OLCI-based algorithm for semi-empirically partitioning absorption coefficient and estimating chlorophyll a concentration in various turbid case-2 waters
文献类型:期刊论文
作者 | Liu, Ge4,5; Li, Lin7; Song, Kaishan5; Li, Yunmei4; Lyu, Heng4; Wen, Zhidan5; Fang, Chong5; Bi, Shun4; Sun, Xiaoping6; Wang, Zongming5 |
刊名 | REMOTE SENSING OF ENVIRONMENT |
出版日期 | 2020-03-15 |
卷号 | 239期号:1页码:26 |
ISSN号 | 0034-4257 |
关键词 | Turbid case-2 waters Chla concentrations Yellow matter OLCI |
DOI | 10.1016/j.rse.2020.111648 |
英文摘要 | 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. |
WOS关键词 | BIOOPTICAL 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 |
WOS研究方向 | Environmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology |
语种 | 英语 |
出版者 | ELSEVIER SCIENCE INC |
WOS记录号 | WOS:000518694400024 |
源URL | [http://ir.ihb.ac.cn/handle/342005/35812] |
专题 | 水生生物研究所_藻类生物学及应用研究中心_期刊论文 |
通讯作者 | Li, Yunmei |
作者单位 | 1.Nanjing Hydraul Res Inst, State Key Lab Hydrol Water Resources & Hydraul En, Nanjing 210029, Jiangsu, Peoples R China 2.Chinese Acad Sci, Inst Hydrobiol, Wuhan 430072, Hubei, Peoples R China 3.Chinese Acad Sci, Nanjing Inst Geog & Limnol, Nanjing 210008, Jiangsu, Peoples R China 4.Nanjing Normal Univ, Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Jiangsu, Peoples R China 5.Chinese Acad Sci, Northeast Inst Geog & Agr Ecol, Changchun 130102, Jilin, Peoples R China 6.Yangzhou Environm Monitoring Ctr Stn, Yangzhou 225007, Jiangsu, Peoples R China 7.Indiana Univ Purdue Univ, Dept Earth Sci, Indianapolis, IN 46202 USA |
推荐引用方式 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. |
入库方式: OAI收割
来源:水生生物研究所
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