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题名:
Development of a Semi-Analytical Algorithm for the Retrieval of Suspended Particulate Matter from Remote Sensing over Clear to Very Turbid Waters
作者: Han, B; Loisel, H; Vantrepotte, V; Meriaux, X; Bryere, P; Ouillon, S; Dessailly, D; Xing, QianGuo(邢前国); Zhu, JH
刊名: REMOTE SENSING
ISSN号: 2072-4292
出版日期: 2016-03-01
卷号: 8, 期号:3
关键词: specific backscattering coefficient ; empirical algorithm ; semi-analytic algorithm ; coastal waters ; suspended particulate matter ; ocean color
DOI: 10.3390/rs8030211
产权排序: [Han, Bing; Zhu, Jianhua] NOTC, 219 Jieyuanxi Rd, Tianjin 300112, Peoples R China; [Han, Bing; Loisel, Hubert; Vantrepotte, Vincent; Meriaux, Xavier; Dessailly, David] ULCO, LOG, F-62930 Wimereux, France; [Han, Bing] NUIST, Sch Marine Sci, 219 Jingning 6 Rd, Nanjing 210044, Jiangsu, Peoples R China; [Loisel, Hubert; Ouillon, Sylvain] Univ Toulouse, IRD, UPS OMP, UMR LEGOS 5566, 14 Av Edouard Belin, F-31400 Toulouse, France; [Loisel, Hubert] VAST, STI, 18 Hoang Quoc Viet, Hanoi, Vietnam; [Vantrepotte, Vincent] CNRS Guyane, USR3456, F-97334 Cayenne, France; [Bryere, Philippe] ACRI HE, 8 Quai Douane, F-29200 Brest, France; [Ouillon, Sylvain] USTH, Dept Water Environm Oceanog, 18 Hoang Quoc Viet, Hanoi, Vietnam; [Xing, Qianguo] Chinese Acad Sci, Yantai Inst Coastal Zone Res YIC, 17 Chunhui Rd, Yantai 264003, Peoples R China
通讯作者: Loisel, H (reprint author), ULCO, LOG, F-62930 Wimereux, France. ; Loisel, H (reprint author), Univ Toulouse, IRD, UPS OMP, UMR LEGOS 5566, 14 Av Edouard Belin, F-31400 Toulouse, France. ; Loisel, H (reprint author), VAST, STI, 18 Hoang Quoc Viet, Hanoi, Vietnam. binghanrs@126.com ; hubert.loisel@univ-littoral.fr ; vincent.vantrepotte@univ-littoral.fr ; xavier.meriaux@univ-littoral.fr ; Philippe.Bryere@acri-he.fr ; sylvain.ouillon@legos.obs-mip.fr ; david.dessailly@univ-littoral.fr ; qgxing@yic.ac.cn ; besmile@263.net
作者部门: 海岸带信息集成与综合管理实验室
英文摘要: Remote sensing of suspended particulate matter, SPM, from space has long been used to assess its spatio-temporal variability in various coastal areas. The associated algorithms were generally site specific or developed over a relatively narrow range of concentration, which make them inappropriate for global applications (or at least over broad SPM range). In the frame of the GlobCoast project, a large in situ data set of SPM and remote sensing reflectance, R-rs(lambda), has been built gathering together measurements from various coastal areas around Europe, French Guiana, North Canada, Vietnam, and China. This data set covers various contrasting coastal environments diversely affected by different biogeochemical and physical processes such as sediment resuspension, phytoplankton bloom events, and rivers discharges (Amazon, Mekong, Yellow river, MacKenzie, etc.). The SPM concentration spans about four orders of magnitude, from 0.15 to 2626 g center dot m(-3). Different empirical and semi-analytical approaches developed to assess SPM from R-rs(lambda) were tested over this in situ data set. As none of them provides satisfactory results over the whole SPM range, a generic semi-analytical approach has been developed. This algorithm is based on two standard semi-analytical equations calibrated for low-to-medium and highly turbid waters, respectively. A mixing law has also been developed for intermediate environments. Sources of uncertainties in SPM retrieval such as the bio-optical variability, atmospheric correction errors, and spectral bandwidth have been evaluated. The coefficients involved in these different algorithms have been calculated for ocean color (SeaWiFS, MODIS-A/T, MERIS/OLCI, VIIRS) and high spatial resolution (LandSat8-OLI, and Sentinel2-MSI) sensors. The performance of the proposed algorithm varies only slightly from one sensor to another demonstrating the great potential applicability of the proposed approach over global and contrasting coastal waters.
研究领域[WOS]: Remote Sensing
项目资助者: Agence Nationale de la Recherche(ANR-11-BLAN-BS56-018-01) ; China Scholarship Council (CSC) ; National Science Fund of China(41276184) ; Chinese Academy of Sciences(XDA11020403 ; Key Laboratory of Marine Remote Sensing and Acoustics in Nanjing University of Information Science and Technology, China(KHYS1401) ; TOSCA (CNES, France) ; GJHZ1207)
关键词[WOS]: EASTERN ENGLISH-CHANNEL ; IN-SITU MEASUREMENTS ; SOUTHERN NORTH-SEA ; COASTAL WATERS ; SCATTERING PROPERTIES ; OPTICAL-PROPERTIES ; MARINE PARTICLES ; ESTUARINE WATERS ; CHESAPEAKE BAY ; SEAWIFS DATA
文章类型: Article
收录类别: SCI
语种: 英语
WOS记录号: WOS:000373627400068
Citation statistics:
内容类型: 期刊论文
URI标识: http://ir.yic.ac.cn/handle/133337/17038
Appears in Collections:海岸带信息集成与综合管理实验室_期刊论文

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作者单位: 1.NOTC, 219 Jieyuanxi Rd
2.ULCO
3.NUIST, Sch Marine Sci
4.Univ Toulouse
5.VAST, STI
6.CNRS Guyane
7.ACRI HE
8.USTH, Dept Water Environm Oceanog
9.Chinese Acad Sci, Yantai Inst Coastal Zone Res YIC

Recommended Citation:
Han, B,Loisel, H,Vantrepotte, V,et al. Development of a Semi-Analytical Algorithm for the Retrieval of Suspended Particulate Matter from Remote Sensing over Clear to Very Turbid Waters[J]. REMOTE SENSING,2016,8(3).
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