S. B. Hooker and W. E. Esaias, An overview of the SeaWiFS Project, Trans., Am. Geophys. Union, vol.74, issue.21, pp.241-246, 1993.

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, issue.4, pp.1250-1265, 1998.

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. Environ, vol.120, pp.37-57, 2012.

. Ioccg, Mission Requirements for Future Ocean Colour Sensor, Reports of International Ocean-Color Coordinating Group, p.106, 2012.

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.87, issue.2, pp.191-200, 2006.

H. Oudrari, J. Mcintire, X. Xiong, J. Butler, B. Efremova et al., JPSS-1 VIIRS pre-launch radiometric performance, Proc. SPIE, vol.9607, p.960710, 2015.

S. D. Miller, W. Straka, S. P. Mills, C. D. Elvidge, T. F. Lee et al., Illuminating the capabilities of the Suomi National Polar-Orbiting Partnership (NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) day/night band, pp.6717-6766, 2013.

W. Shi and M. Wang, Ocean Dynamics Observed by VIIRS Day/Night Band Satellite Observations, Remote Sens, vol.10, issue.2, p.76, 2018.

H. H. Kieffer and T. C. Stone, The Spectral Irradiance of the Moon, Astron. J, vol.129, issue.6, pp.2887-2901, 2005.

T. C. Stone, H. H. Kieffer, and K. J. Becker, Modeling the radiance of the moon for on-orbit calibration, Proc. SPIE, vol.5151, pp.463-470, 2003.

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, Sol. Phys, vol.214, issue.1, pp.1-22, 2003.

S. D. Miller and R. E. Turner, A dynamic lunar spectral irradiance data set for NPOESS/VIIRS day/night band nighttime environmental applications, IEEE Trans. Geosci. Electron, vol.47, issue.7, pp.2316-2329, 2009.

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, issue.1, 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, issue.2, 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, issue.C7, p.3211, 2003.

M. Babin, A. Morel, V. Fournier-sicre, F. Fell, and D. Stramski, Light scattering properties of marine particles in coastal and open ocean waters as related to the particle mass concentration, Limnol. Oceanogr, vol.48, issue.2, pp.843-859, 2003.

G. Tilstone, S. Peters, H. Van-der-woerd, M. Eleveld, K. Ruddick et al., Variability in specific-absorption properties and their use in a semi-analytical ocean colour algorithm for MERIS in North Sea and Western English Channel Coastal Waters, Remote Sens. Environ, vol.118, pp.320-338, 2012.

B. Lubac and H. Loisel, Variability and classification of remote sensing reflectance spectra in the eastern English Channel and southern North Sea, Remote Sens. Environ, vol.110, issue.1, pp.45-58, 2007.

S. B. Wozniak, D. Stramski, M. Stramska, R. A. Reynolds, V. M. Wright et al., Optical variability of seawater in relation to particle concentration, composition, and size distribution in the nearshore marine environment at Imperial Beach, California, J. Geophys. Res, vol.115, issue.C8, p.8027, 2010.

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, issue.21, pp.27829-27852, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01272796

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, Environmental Research Paper Air Force Geophysics Lab, 1979.

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, vol.39, p.19611, 2012.

D. D. Ngoc, H. Loisel, L. Duforet-gaurier, C. Jamet, V. Vantrepotte et al., Atmospheric correction algorithm over coastal and inland waters based on the red and NIR bands: application to Landsat-8/OLI and VNREDSat-1/NAOMI observations, Opt. Express, vol.27, issue.22, pp.31676-31697, 2019.
URL : https://hal.archives-ouvertes.fr/hal-02336808

L. B. Liao, S. Weiss, S. Mills, and B. Hauss, Suomi NPP VIIRS day-night band on-orbit performance, J. Geophys. Res.: Atmos, vol.118, issue.22, pp.705-717, 2013.

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, Remote Sens, vol.8, issue.3, pp.211-234, 2016.