TY - JOUR
T1 - Going beyond standard ocean color observations
T2 - Lidar and polarimetry
AU - Jamet, Cédric
AU - Ibrahim, Amir
AU - Ahmad, Ziauddin
AU - Angelini, Federico
AU - Babin, Marcel
AU - Behrenfeld, Michael J.
AU - Boss, Emmanuel
AU - Cairns, Brian
AU - Churnside, James
AU - Chowdhary, Jacek
AU - Davis, Anthony B.
AU - Dionisi, Davide
AU - Duforêt-Gaurier, Lucile
AU - Franz, Bryan
AU - Frouin, Robert
AU - Gao, Meng
AU - Gray, Deric
AU - Hasekamp, Otto
AU - He, Xianqiang
AU - Hostetler, Chris
AU - Kalashnikova, Olga V.
AU - Knobelspiesse, Kirk
AU - Lacour, Léo
AU - Loisel, Hubert
AU - Martins, Vanderlei
AU - Rehm, Eric
AU - Remer, Lorraine
AU - Sanhaj, Idriss
AU - Stamnes, Knut
AU - Stamnes, Snorre
AU - Victori, Stéphane
AU - Werdell, Jeremy
AU - Zhai, Peng Wang
N1 - Publisher Copyright:
© 2019 Jamet, Ibrahim, Ahmad, Angelini, Babin, Behrenfeld, Boss, Cairns, Churnside, Chowdhary, Davis, Dionisi, Duforêt-Gaurier, Franz, Frouin, Gao, Gray, Hasekamp, He, Hostetler, Kalashnikova, Knobelspiesse, Lacour, Loisel, Martins, Rehm, Remer, Sanhaj, Stamnes, Stamnes, Victori, Werdell and Zhai.
PY - 2019
Y1 - 2019
N2 - 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.
AB - 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.
KW - Lidar
KW - Ocean color
KW - Polarimetry
KW - Profiles
KW - Satellite
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U2 - 10.3389/fmars.2019.00251
DO - 10.3389/fmars.2019.00251
M3 - Review article
AN - SCOPUS:85066803696
VL - 6
JO - Frontiers in Marine Science
JF - Frontiers in Marine Science
IS - May
M1 - 251
ER -