J. M. Nicolas, P. Y. Deschamps, and O. Hagolle, Radiometric Calibration of the Visible and Near-Infrared Bands of SEVIRI Using Rayleigh Scattering and Sun-Glint Over Oceans, Proceedings of the 3rd MSG RAO Workshop, 2006.

R. G. Kleidman, Y. J. Kaufman, B. Gao, L. A. Cai, V. G. Brackett et al., Remote sensing of total precipitable water vapor in the near IR over ocean glint, Geophys. Res. Lett, vol.27, pp.2657-2660, 2000.

, Remote Sens, vol.12, p.1445, 2020.

Y. J. Kaufman, J. V. Martins, L. Remer, M. R. Schoeberl, and M. A. Yamasoe, Satellite retrieval of aerosol absorption over the oceans using sunglint, Geophys. Res. Lett, vol.29, pp.34-35, 2002.

C. Cox and W. Munk, Measurement of the roughness of the sea surface from photographs of the Suns glitter, J. Opt. Soc. Am, vol.44, pp.838-850, 1954.

F. M. Breon and N. Henriot, Spaceborne observations of ocean glint reflectance and modeling of wave slope distributions, J. Geophys. Res. Oceans, vol.111, p.6005, 2006.

N. Ebuchi and S. Kizu, Probability distribution of surface wave slope derived using sun glitter images from GeostationaryMeteorological Satellite and surface vector winds from scatterometers, J. Oceanogr, vol.58, pp.477-486, 2002.

V. Ross and D. Dion, Sea surface slope statistics derived from Sun glint radiance measurements and their apparent dependence on sensor elevation, J. Geophys. Res, vol.112, 2007.

C. Jackson, Internal wave detection using the moderate resolution imaging spectroradiometer (MODIS)

, J. Geophys. Res, vol.112, p.11012, 2007.

G. Chust and Y. Sagarminaga, The multi-angle view of MISR detects oil slicks under sun glitter conditions. Remote Sens. Environ, vol.107, pp.232-239, 2007.

C. Hu, X. Li, W. G. Pichel, and F. E. Muller-karger, Detection of natural oil slicks in the NW Gulf of Mexico using MODIS imagery, Geophys. Res. Lett, vol.36, 2009.

S. Khattak, R. A. Vaughan, and A. P. Cracknell, Sunglint and its observation in AVHRR data, Remote Sens. Environ, vol.37, pp.101-116, 1991.

. Esa-earthnet, The Medium Resolution Imaging Spectrometer Instrument, p.31, 2019.

R. Doerffer, H. Schiller, J. Fischer, R. Preusker, and M. Bouvet, The Impact of Sun Glint on the Retrieval of Water Parameters and Possibilities for the Correction of MERIS Scenes, Proceedings of the 2nd MERIS-(A)ATSR workshop, pp.22-26, 2008.

F. Steinmetz, P. Y. Deschamps, and D. Ramon, Atmospheric correction in presence of sun glint: Application to MERIS, Opt. Express, vol.19, pp.9783-9800, 2011.

S. B. Hooker and W. E. Esaias, An overview of the SeaWiFS Project, Eos Trans. Am. Geophys. Union, vol.74, pp.241-246, 1993.

C. Donlon, B. Berruti, A. Buongiorno, M. H. Ferreira, P. Femenias et al., The Global Monitoring for Environment and Security (GMES) Sentinel-3 mission. Remote Sens, vol.120, pp.37-57, 2012.

P. Y. Deschamps, F. M. Breon, M. Leroy, A. Podaire, A. Bricaud et al., The Polder Mission-Instrument Characteristics and Scientific Objectives, IEEE Trans. Geosci. Remote Sens, vol.32, pp.598-615, 1994.

W. E. Esaias, M. R. Abbott, I. Barton, O. B. Brown, J. W. Campbell et al., An overview of MODIS capabilities for ocean science observations, IEEE Trans. Geosci. Electron, vol.36, pp.1250-1265, 1998.

S. Kay, J. D. Hedley, and S. Lavender, Sun glint correction of high and low spatial resolution images of aquatic scenes: A review of methods for visible and near-infrared wavelengths. Remote Sens, vol.1, pp.697-730, 2009.

M. Wang and S. W. Bailey, Correction of sun glint contamination on the SeaWiFS ocean and atmosphere products, Appl. Opt, vol.40, pp.4790-4798, 2001.

L. Bourg, F. Montagner, V. Billat, and S. Belanger, Sun Glint Flag Algorithm. MERIS ATBD 2.13, p.31, 2011.

R. Doerffer, . Helmholtz-zentrum, and . Geesthacht, Alternative Atmospheric Correction Procedure for Case 2 Water Remote Sensing using MERIS. Algorithm Theoretical Basis Document (ATBD 2.255) Version 1, p.31, 2011.

C. Hu, An empirical approach to derive MODIS ocean color patterns under severe sun glint, Geophys. Res. Lett, p.38, 2011.

E. J. Hochberg, M. J. Atkinson, A. Apprill, and S. Andréfouët, Spectral reflectance of coral, Coral Reefs, vol.23, pp.84-95, 2004.

, Remote Sens, vol.12, p.1445, 2020.

J. D. Hedley, A. R. Harborne, and P. J. Mumby, Technical note: Simple and robust removal of sun glint for mapping shallow-water benthos, Int. J. Remote Sens, vol.26, pp.2107-2112, 2005.

D. R. Lyzenga, N. P. Malinas, and F. J. Tanis, Multispectral bathymetry using a simple physically based algorithm, IEEE Trans. Geosci. Remote Sens, vol.44, pp.2251-2259, 2006.

J. A. Goodman, Z. Lee, and S. L. Ustin, Influence of atmospheric and sea-surface corrections on retrieval of bottom depth and reflectance using a semi-analytical model: A case study in Kaneohe Bay, Hawaii. Appl. Opt, vol.47, pp.1-11, 2008.

T. Harmel, M. Chami, T. Tormos, N. Reynaud, and P. A. Danis, Sunglint correction of the Multi-Spectral Instrument (MSI)-SENTINEL-2 imagery over inland and sea waters from SWIR bands, Remote Sens. Environ, vol.204, pp.308-321, 2018.
URL : https://hal.archives-ouvertes.fr/insu-01628728

M. Chami, B. Lafrance, B. Fougnie, J. Chowdhary, T. Harmel et al., OSOAA: A vector radiative transfer model of coupled atmosphere-ocean system for a rough sea surface application to the estimates of the directional variations of the water leaving reflectance to better process multi-angular satellite sensors data over the ocean, Opt. Express, vol.23, pp.27829-27852, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01272796

G. Thuillier, M. Hersé, D. Labs, T. Foujols, W. Peetermans et al., The Solar Spectral Irradiance from 200 to 2400 nm as Measured by the SOLSPEC Spectrometer from the Atlas and Eureca Missions, Solar Phys, vol.214, pp.1-22, 2003.

P. J. Werdell and S. W. Bailey, An improved in-situ bio-optical data set for ocean color algorithm development and satellite data product validation, Remote Sens. Environ, vol.98, pp.122-140, 2005.

B. Nechad, K. Ruddick, T. Schroeder, K. Oubelkheir, D. Blondeau-patissier et al., CoastColour Round Robin data sets: A database to evaluate the performance of algorithms for the retrieval of water quality parameters in coastal waters, Earth Syst. Sci. Data, vol.7, pp.319-348, 2015.

M. Babin, D. Stramski, G. M. Ferrari, H. Claustre, A. Bricaud et al., Variations in the light absorption coefficients of phytoplankton, nonalgal particles, and dissolved organic matter in coastal waters around Europe, J. Geophys. Res. Oceans, vol.108, p.7, 2003.

E. P. Shettle and R. W. Fenn, Models for the Aerosols of the Lower Atmosphere and the Effect of Humidity Variations on Their Optical Properties

P. Tsipouras and H. B. Garrett, Air Force Geophysics Lab: Wright-Patterson Air Force Base, 1979.

Y. J. Park and K. Ruddick, Model of remote-sensing reflectance including bidirectional effects for case 1 and case 2 waters, Appl. Opt, vol.44, pp.1236-1249, 2005.

Z. P. Lee, K. Du, K. J. Voss, G. Zibordi, B. Lubac et al., An inherent-optical-property-centered approach to correct the angular effects in water-leaving radiance, Appl. Opt, vol.50, pp.3155-3167, 2011.

S. Hlaing, A. Gilerson, T. Harmel, A. Tonizzo, A. Weidemann et al., Assessment of a bidirectional reflectance distribution correction of above-water and satellite water-leaving radiance in coastal waters, Appl. Opt, vol.51, pp.220-237, 2012.

M. Chami and D. Mckee, Determination of biogeochemical properties of marine particles using above water measurements of the degree of polarization at the Brewster angle, Opt. Express, vol.15, pp.9494-9509, 2007.

B. Sturm, The Atmospheric Correction of Remotely Sensed Data and the Quantitative Determination of Suspended Matter in Marine Water Surface Layer, Remote Sensing in Meteorology, Oceanography and Hydrology

A. P. Cracknell, .. Ed, and . Horwood, , pp.163-197, 1981.

J. M. Sullivan and M. S. Twardowski, Angular shape of the oceanic particulate volume scattering function in the backward direction, Appl. Opt, vol.48, pp.6811-6819, 2009.

X. Zhang, M. Twardowski, and M. Lewis, Retrieving composition and sizes of oceanic particle subpopulations from the volume scattering function, Appl. Opt, vol.50, pp.1240-1259, 2011.

M. Twardowski, X. Zhang, S. Vagle, J. Sullivan, S. Freeman et al., The optical volume scattering function in a surf zone inverted to derive sediment and bubble particle subpopulations, J. Geophys. Res. Oceans, vol.117, pp.0-17, 2012.

X. Zhang, R. H. Stavn, A. U. Falster, D. Gray, and R. W. Gould, New insight into particulate mineral and organic matter in coastal ocean waters through optical inversion, Estuar. Coast. Shelf Sci, vol.149, pp.1-12, 2014.

, Remote Sens, vol.12, p.1445, 2020.

J. M. Sullivan, M. S. Twardowski, P. L. Donaghay, and S. A. Freeman, Use of optical scattering to discriminate particle types in coastal waters, Appl. Opt, vol.44, pp.1667-1680, 2005.

S. J. Lavender, M. H. Pinkerton, G. F. Moore, and J. Aiken, Blondeau-Patissier, D. Modification to the atmospheric correction of SeaWiFS ocean colour images over turbid waters, Cont. Shelf Res, vol.25, pp.539-555, 2005.

G. F. Moore, J. Aiken, and S. J. Lavender, The atmospheric correction of water colour and the quantitative retrieval of suspended particulate matter in Case II waters: Application to MERIS, Int. J. Remote Sens, vol.20, pp.1713-1733, 1999.

D. Doxaran, J. M. Froidefond, and S. Lavender, Spectral signature of highly turbid waters: Application with SPOT data to quantify suspended particulate matter concentrations, Remote Sens. Environ, vol.81, pp.149-161, 2002.

C. Neil, A. Cunningham, and D. Mckee, Relationships between suspended mineral concentrations and red-waveband reflectances in moderately turbid shelf seas, Remote Sens. Environ, vol.115, pp.3719-3730, 2011.

V. Volpe, S. Silvestri, and M. Marani, Remote sensing retrieval of suspended sediment concentration in shallow waters, Remote Sens. Environ, vol.115, pp.44-54, 2011.

S. Ouillon, P. Douillet, A. Petrenko, J. Neveux, C. Dupouy et al., Optical algorithms at satellite wavelengths for total suspended matter in tropical coastal waters, Sensors, vol.8, pp.4165-4185, 2008.
URL : https://hal.archives-ouvertes.fr/hal-00687706

B. Han, H. Loisel, V. Vantrepotte, X. Mériaux, P. Bryère et al., Development of a semi-analytical algorithm for the retrieval of suspended particulate matter from remote sensing over clear to very turbid waters

T. F. Lee, S. D. Miller, F. J. Turk, C. Schueler, R. Julian et al., The NPOESS/VIIRS day/night visible sensor, Bull. Am. Meteorol. Soc, vol.8, pp.191-199, 2006.

P. Koepke, The reflectance factors of a rough ocean with foam. Comment on Remote sensing of the sea state using the 0.8-1.1 µm spectral band, Int. J. Remote Sens, vol.6, pp.787-797, 1985.

T. Harmel and M. Chami, Determination of sea surface wind speed using the polarimetric and multidirectional properties of satellite measurements in visible bands, Geophys. Res. Lett, p.39, 2012.