Z. Lee, K. L. Carder, C. D. Mobley, R. G. Steward, and J. S. Patch, Hyperspectral remote sensing for shallow waters. I. A semianalytical model, Appl. Opt, vol.37, issue.27, pp.6329-6338, 1998.

Z. Lee, K. L. Carder, C. D. Mobley, R. G. Steward, and J. S. Patch, Hyperspectral remote sensing for shallow waters. 2. Deriving bottom depths and water properties by optimization, Appl. Opt, vol.38, issue.18, pp.3831-3843, 1999.

S. Maritorena, A. Morel, and B. Gentili, Diffuse reflectance of oceanic shallow waters: influence of water depth and bottom albedo, Limnol. Oceanogr, vol.39, issue.7, pp.1689-1703, 1994.

V. E. Brando, J. M. Anstee, M. Wettle, A. G. Dekker, S. R. Phinn et al., A physics based retrieval and quality assessment of bathymetry from suboptimal hyperspectral data, Remote Sens. Environ, vol.113, issue.4, pp.755-770, 2009.

A. G. Dekker, S. R. Phinn, J. Anstee, P. Bissett, V. E. Brando et al., Intercomparison of shallow water bathymetry, hydro-optics, and benthos mapping techniques in Australian and Caribbean coastal environments, Limnol. Oceanogr. Methods, vol.9, issue.9, pp.396-425, 2011.

J. Hedley, C. Roelfsema, and S. R. Phinn, Efficient radiative transfer model inversion for remote sensing applications, Remote Sens. Environ, vol.113, issue.11, pp.2527-2532, 2009.

S. Jay and M. Guillaume, A novel maximum likelihood based method for mapping depth and water quality from hyperspectral remote-sensing data, Remote Sens. Environ, vol.147, pp.121-132, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01279611

S. Jay and M. Guillaume, Regularized estimation of bathymetry and water quality using hyperspectral remote sensing, Int. J. Remote Sens, vol.37, issue.2, pp.263-289, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01279585

S. Jay, M. Guillaume, A. Minghelli, Y. Deville, M. Chami et al., Hyperspectral remote sensing of shallow waters: considering environmental noise and bottom intra-class variability for modeling and inversion of water reflectance, Remote Sens. Environ, vol.200, pp.352-367, 2017.
URL : https://hal.archives-ouvertes.fr/insu-01584930

B. Bulgarelli, G. Zibordi, and F. Mélin, On the minimization of adjacency effects in SeaWiFS primary data products from coastal areas, Opt. Express, vol.26, issue.18, pp.709-728, 2018.

B. Bulgarelli, G. Zibordi, ;. Modis-a, and M. Olci, On the detectability of adjacency effects in ocean color remote sensing of midlatitude coastal environments by SeaWiFS, Remote Sens. Environ, vol.209, pp.423-438, 2018.

B. Bulgarelli, V. Kiselev, and G. Zibordi, Adjacency effects in satellite radiometric products from coastal waters: a theoretical analysis for the northern Adriatic Sea, Appl. Opt, vol.56, issue.4, pp.854-869, 2017.

L. Feng and C. Hu, Cloud adjacency effects on top-of-atmosphere radiance and ocean color data products: a statistical assessment, Remote Sens. Environ, vol.174, pp.301-313, 2016.

V. Kiselev, B. Bulgarelli, and T. Heege, Sensor independent adjacency correction algorithm for coastal and inland water systems, Remote Sens. Environ, vol.157, pp.85-95, 2015.

B. Bulgarelli, V. Kiselev, and G. Zibordi, Simulation and analysis of adjacency effects in coastal waters: a case study, Appl. Opt, vol.53, issue.8, pp.1523-1545, 2014.

S. Belanger, J. K. Ehn, and M. Babin, Impact of sea ice on the retrieval of water-leaving reflectance, chlorophyll a concentration and inherent optical properties from satellite ocean color data, Remote Sens. Environ, vol.111, issue.1, pp.51-68, 2007.

A. Sei, Analysis of adjacency effects for two Lambertian half-spaces, Int. J. Remote Sens, vol.28, issue.8, pp.1873-1890, 2007.

R. Santer and C. Schmechtig, Adjacency effects on water surfaces: primary scattering approximation and sensitivity study, Appl. Opt, vol.39, issue.3, pp.361-375, 2000.

P. N. Reinersman and K. L. Carder, Monte Carlo simulation of the atmospheric point-spread function with an application to correction for the adjacency effect, Appl. Opt, vol.34, issue.21, pp.4453-4471, 1995.

J. Otterman and R. S. Fraser, Adjacency effects on imaging by surface reflection and atmospheric scattering: cross radiance to zenith, Appl. Opt, vol.18, issue.16, pp.2852-2860, 1979.

M. Guillaume, Y. Michels, and S. Jay, Joint estimation of water column parameters and seabed reflectance combining maximum likelihood and unmixing algorithm, 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), pp.1-4, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01279644

D. Tanré, M. Herman, P. Y. Deschamps, and A. Leffe, Atmospheric modeling for space measurements of ground reflectances, including bidirectional properties, Appl. Opt, vol.18, issue.21, pp.3587-3594, 1979.

E. Vermote and A. Vermeulen, Atmospheric correction algorithm: spectral reflectances (MOD09), NASA MODIS Algorithm Theoretical Basis Document, 1999.

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

T. Sagawa, E. Boisnier, T. Komatsu, K. B. Mustapha, A. Hattour et al., Using bottom surface reflectance to map coastal marine areas: a new application method for Lyzenga's model, Int. J. Remote Sens, vol.31, issue.12, pp.3051-3064, 2010.

J. M. Jaubert, J. R. Chisholm, A. Minghelli-roman, M. Marchioretti, J. H. Morrow et al., Reevaluation of the extent of Caulerpa taxifolia development in the northern Mediterranean using airborne spectrographic sensing, Mar. Ecol. Prog. Ser, vol.263, pp.75-82, 2003.
URL : https://hal.archives-ouvertes.fr/hal-01859114

C. Mobley and L. K. Sundman, Effects of optically shallow bottoms on upwelling radiances: Inhomogeneous and sloping bottoms, Limnol. Oceanogr, vol.48, issue.1, pp.329-336, 2003.

K. Z. Doctor, C. M. Bachmann, D. J. Gray, M. J. Montes, and R. A. Fusina, Wavelength dependence of the bidirectional reflectance distribution function (BRDF) of beach sands, Appl. Opt, vol.54, issue.31, pp.243-255, 2015.