Going Beyond Standard Ocean Color Observations: Lidar and Polarimetry

被引:101
作者
Jamet, Cedric [1 ]
Ibrahim, Amir [2 ,3 ]
Ahmad, Ziauddin [2 ,4 ]
Angelini, Federico [5 ]
Babin, Marcel [6 ]
Behrenfeld, Michael J. [7 ]
Boss, Emmanuel [8 ]
Cairns, Brian [9 ]
Churnside, James [10 ]
Chowdhary, Jacek [9 ]
Davis, Anthony B. [11 ]
Dionisi, Davide [12 ]
Duforet-Gaurier, Lucile [1 ]
Franz, Bryan [2 ]
Frouin, Robert [13 ]
Gao, Meng [2 ,3 ,14 ]
Gray, Deric [15 ]
Hasekamp, Otto [16 ]
He, Xianqiang [17 ]
Hostetler, Chris [18 ]
Kalashnikova, Olga, V [11 ]
Knobelspiesse, Kirk [2 ]
Lacour, Leo [6 ]
Loisel, Hubert [1 ]
Martins, Vanderlei [14 ]
Rehm, Eric [6 ]
Remer, Lorraine [14 ]
Sanhaj, Idriss [19 ]
Stamnes, Knut [20 ]
Stamnes, Snorre [18 ]
Victori, Stephane [19 ]
Werdell, Jeremy [2 ]
Zhai, Peng-Wang [14 ]
机构
[1] Univ Lille, CNRS, Lab Oceanol & Geosci, Univ Littoral Cote Opale,UMR, Wimereux, France
[2] NASA, Goddard Space Flight Ctr, Greenbelt, MD USA
[3] Sci Syst & Applicat Inc, Lanham, MD USA
[4] Sci Applicat Int Corp, Mclean, VA 22102 USA
[5] Italian Natl Agcy New Technol Energy & Sustainabl, Nucl Fus & Safety Technol Dept FSN, Frascati, Italy
[6] Univ Laval, CNRS, Takuvik Joint Int Lab, Quebec City, PQ, Canada
[7] Oregon State Univ, Dept Bot & Plant Pathol, Corvallis, OR 97331 USA
[8] Univ Maine, Sch Marine Sci, Orono, ME USA
[9] NASA GISS, New York, NY USA
[10] Natl Ocean & Atmospher Adm, Earth Syst Res Lab, Chem Sci Div, Boulder, CO USA
[11] CALTECH, Jet Prop Lab, Pasadena, CA USA
[12] Italian Natl Res Council CNR, Inst Marine Sci ISMAR, Rome, Italy
[13] Scripps Inst Oceanog UC, San Diego, CA USA
[14] Univ Maryland, Baltimore, MD 21201 USA
[15] Naval Res Lab, Washington, DC 20375 USA
[16] SRON Netherlands Inst Space Res, Utrecht, Netherlands
[17] Minist Nat Resources, Inst Oceanog 2, State Key Lab Satellite Ocean Environm Dynam, Hangzhou, Zhejiang, Peoples R China
[18] NASA LaRC, Hampton, VA USA
[19] CIMEL, Paris, France
[20] Stevens Inst Technol, Hoboken, NJ 07030 USA
关键词
ocean color; lidar; satellite; profiles; polarimetry; SPECTRAL-RESOLUTION LIDAR; INHERENT OPTICAL-PROPERTIES; ATMOSPHERIC CORRECTION ALGORITHMS; POLARIZED RADIATIVE-TRANSFER; DISCRETE-ORDINATE-METHOD; WATER-LEAVING RADIANCE; AEROSOL PROPERTIES; LIGHT-SCATTERING; MULTIPLE-SCATTERING; SIZE DISTRIBUTION;
D O I
10.3389/fmars.2019.00251
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Passive ocean color images have provided a sustained synoptic view of the distribution of ocean optical properties and color and biogeochemical parameters for the past 20-plus years. These images have revolutionized our view of the ocean. Remote sensing of ocean color has relied on measurements of the radiance emerging at the top of the atmosphere, thus neglecting the polarization and the vertical components. Ocean color remote sensing utilizes the intensity and spectral variation of visible light scattered upward from beneath the ocean surface to derive concentrations of biogeochemical constituents and inherent optical properties within the ocean surface layer. However, these measurements have some limitations. Specifically, the measured property is a weighted-integrated value over a relatively shallow depth, it provides no information during the night and retrieval are compromised by clouds, absorbing aerosols, and low Sun zenithal angles. In addition, ocean color data provide limited information on the morphology and size distribution of marine particles. Major advances in our understanding of global ocean ecosystems will require measurements from new technologies, specifically lidar and polarimetry. These new techniques have been widely used for atmospheric applications but have not had as much as interest from the ocean color community. This is due to many factors including limited access to in-situ instruments and/or space-borne sensors and lack of attention in university courses and ocean science summer schools curricula. However, lidar and polarimetry technology will complement standard ocean color products by providing depth-resolved values of attenuation and scattering parameters and additional information about particles morphology and chemical composition. This review aims at presenting the basics of these techniques, examples of applications and at advocating for the development of in-situ and space-borne sensors. Recommendations are provided on actions that would foster the embrace of lidar and polarimetry as powerful remote sensing tools by the ocean science community.
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页数:24
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