S. Emberton, L. Chittka, A. Cavallaro, and M. Wang, Sensor Capability and Atmospheric Correction in Ocean Colour Remote Sensing, Remote Sensing, vol.8, issue.1, p.1, 2015.

E. Louchard, R. Reid, C. Stephens, C. Davis, R. Leathers et al., Derivative analysis of absorption features in hyperspectral remote sensing data of carbonate sediments, Optics Express, vol.10, issue.26, p.1573, 2002.

D. Odermatt, A. Gitelson, V. E. Brando, and M. Schaepman, Review of constituent retrieval in optically deep and complex waters from satellite imagery, Remote Sensing of Environment, vol.118, pp.116-126, 2012.

M. W. Matthews, A current review of empirical procedures of remote sensing in inland and near-coastal transitional waters, International Journal of Remote Sensing, vol.32, issue.21, pp.6855-6899, 2011.

E. L. Hestir, V. E. Brando, M. Bresciani, C. Giardino, E. Matta et al., Measuring freshwater aquatic ecosystems: The need for a hyperspectral global mapping satellite mission, Remote Sensing of Environment, vol.167, pp.181-195, 2015.

A. Bracher, H. A. Bouman, R. J. Brewin, A. Bricaud, V. Brotas et al., Obtaining Phytoplankton Diversity from Ocean Color: A Scientific Roadmap for Future Development, Frontiers in Marine Science, vol.4, pp.1-15, 2017.

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

P. Nieto, C. A. Mücher, H. W. Meesters, J. Clevers, S. T. Glorius et al., « Classifying benthic habitats and deriving bathymetry at the Caribbean Netherlands using multispectral imagery. Case study of St, Eustatius, 2013.

P. C. Valentine, B. J. Todd, and V. E. Kostylev, « Classification of Marine Sublittoral Habitats, with Application to the Northeastern North America Region, 2005.

E. Vahtmäe, B. Paavel, and T. Kutser, How much benthic information can be retrieved with hyperspectral sensor from the optically complex coastal waters?, Journal of Applied Remote Sensing, vol.14, issue.01, p.1, 2020.

J. T. Kirk, Light and photosynthesis in aquatic ecosystems, 1994.

R. K. Singh and P. Shanmugam, A novel method for estimation of aerosol radiance and its extrapolation in the atmospheric correction of satellite data over optically complex oceanic waters, Remote Sensing of Environment, vol.142, pp.188-206, 2014.

C. D. Mobley and «. Surfaces-», A numerical model for the computation of radiance distributions in natural waters with wind-roughened surfaces, Limnology and Oceanography, vol.34, issue.8, pp.1473-1483, 1989.

Z. P. Lee, K. L. Carder, C. D. Mobley, R. G. Steward, and J. S. Patch, Hyperspectral remote sensing for shallow waters I A semianalytical model, Applied Optics, vol.37, issue.27, p.6329, 1998.

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, Limnology and Oceanography: Methods, vol.9, issue.9, pp.396-425, 2011.

C. D. Mobley, L. K. Sundman, C. O. Davis, J. H. Bowles, T. V. Downes et al., Interpretation of hyperspectral remote-sensing imagery by spectrum matching and look-up tables, Applied Optics, vol.44, issue.17, p.3576, 2005.

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, Applied Optics, vol.38, issue.18, p.3831, 1999.

H. M. Dierssen, R. C. Zimmerman, R. A. Leathers, T. V. Downes, and C. O. Davis, Ocean color remote sensing of seagrass and bathymetry in the Bahamas Banks by high-resolution airborne imagery, Limnology and Oceanography, vol.48, issue.1part2, pp.444-455, 2003.

S. Andréfouët, C. Payri, E. J. Hochberg, C. Hu, M. J. Atkinson et al., Use of in situ and airborne reflectance for scaling-up spectral discrimination of coral reef macroalgae from species to communities, Marine Ecology Progress Series, vol.283, pp.161-177, 2004.

S. Phinn, C. Roelfsema, A. Dekker, V. Brando, and J. Anstee, Mapping seagrass species, cover and biomass in shallow waters: An assessment of satellite multi-spectral and airborne hyper-spectral imaging systems in Moreton Bay (Australia), Remote Sensing of Environment, vol.112, issue.8, pp.3413-3425, 2008.

R. Pu, S. Bell, C. Meyer, L. Baggett, and Y. Zhao, Mapping and assessing seagrass along the western coast of Florida using Landsat TM and EO-1 ALI/Hyperion imagery, Estuarine, Coastal and Shelf Science, vol.115, pp.234-245, 2012.

V. J. Hill, R. C. Zimmerman, W. P. Bissett, H. Dierssen, and D. D. Kohler, Evaluating Light Availability, Seagrass Biomass, and Productivity Using Hyperspectral Airborne Remote Sensing in Saint Joseph?s Bay, Florida, Estuaries and Coasts, vol.37, issue.6, pp.1467-1489, 2014.

C. M. Duarte, Reviews and syntheses: Hidden forests, the role of vegetated coastal habitats in the ocean carbon budget, Biogeosciences, vol.14, issue.2, pp.301-310, 2017.

M. P. Lesser and C. D. Mobley, Bathymetry, water optical properties, and benthic classification of coral reefs using hyperspectral remote sensing imagery, Coral Reefs, vol.26, issue.4, pp.819-829, 2007.

H. M. Dierssen, R. C. Zimmerman, L. A. Drake, and D. Burdige, Benthic ecology from space: optics and net primary production in seagrass and benthic algae across the Great Bahama Bank, Marine Ecology Progress Series, vol.411, pp.1-15, 2010.

R. Loizzo, R. Guarini, F. Longo, T. Scopa, R. Formaro et al., Prisma: The Italian Hyperspectral Mission, IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, pp.175-178, 2018.

M. Rast and T. H. Painter, Earth Observation Imaging Spectroscopy for Terrestrial Systems: An Overview of Its History, Techniques, and Applications of Its Missions, Surveys in Geophysics, vol.40, issue.3, pp.303-331, 2019.

J. Chisholm, P. Povinec, V. Briet, J. Gastaud, J. Jaubert et al., A century of warfare shoots holes in anti-Caulerpa campaign, Nature Precedings, pp.1-1, 2007.
URL : https://hal.archives-ouvertes.fr/hal-01479833

J. M. Jaubert, J. R. Chisholm, A. Minghelli-roman, M. Marchioretti, J. H. Morrow et al., Re-evaluation of the extent of Caulerpa taxifolia development in the northern Mediterranean using airborne spectrographic sensing, Marine Ecology Progress Series, vol.263, pp.75-82, 2003.
URL : https://hal.archives-ouvertes.fr/hal-01479852

A. Blanfuné, T. Thibaut, C. F. Boudouresque, V. Ma?i?, L. Markovic et al., The CARLIT method for the assessment of the ecological quality of European Mediterranean waters: Relevance, robustness and possible improvements, Ecological Indicators, vol.72, pp.249-259, 2017.

C. H. Köhler, Airborne Imaging Spectrometer HySpex, Journal of large-scale research facilities JLSRF, vol.2, p.93, 2016.

R. Richter, D. Schläpfer, and . Atmospheric, Topographic Correction for Satellite Imagery (ATCOR-2/3 User Guide, Version 8.2 BETA, 2012.

S. Finsterle, ITOUGH2 user`s guide version 2.2, 1993.

J. D. Hedley, A. R. Harborne, and P. J. Mumby, Technical note: Simple and robust removal of sun glint for mapping shallow?water benthos, International Journal of Remote Sensing, vol.26, issue.10, pp.2107-2112, 2005.

L. Louvart and C. Grateau, The Litto3D project, Europe Oceans 2005, vol.2, pp.1244-1251, 2005.

V. Rey, C. Dufresne, J. Fuda, D. Mallarino, T. Missamou et al., On the use of long-term observation of water level and temperature along the shore for a better understanding of the dynamics: example of Toulon area, France, Ocean Dynamics, vol.70, issue.7, pp.913-933, 2020.

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 Sensing of Environment, vol.113, issue.4, pp.755-770, 2009.

Z. Lee, R. Arnone, C. Hu, P. J. Werdell, and B. Lubac, Uncertainties of optical parameters and their propagations in an analytical ocean color inversion algorithm, Applied Optics, vol.49, issue.3, p.369, 2010.

A. Berk, « MODTRAN4 user's manual, 1999.

R. L. Lucke, M. Corson, N. R. Mcglothlin, S. D. Butcher, D. L. Wood et al., Hyperspectral Imager for the Coastal Ocean: instrument description and first images, Applied Optics, vol.50, issue.11, p.1501, 2011.

D. Cerra, J. Bieniarz, R. Müller, T. Storch, and P. Reinartz, Restoration of Simulated EnMAP Data through Sparse Spectral Unmixing, Remote Sensing, vol.7, issue.10, pp.13190-13207, 2015.

A. G. Dekker, Feasibility Study for an Aquatic Ecosystem Earth Observing System Version 1.2, 2018.
URL : https://hal.archives-ouvertes.fr/hal-02172188

L. Gross, S. Thiria, R. Frouin, and B. G. Mitchell, Artificial neural networks for modeling the transfer function between marine reflectance and phytoplankton pigment concentration, Journal of Geophysical Research: Oceans, vol.105, issue.C2, pp.3483-3495, 2000.

C. J. Legleiter and R. L. Fosness, Defining the Limits of Spectrally Based Bathymetric Mapping on a Large River, Remote Sensing, vol.11, issue.6, p.665, 2019.

E. M. Louchard, R. P. Reid, F. C. Stephens, C. O. Davis, R. A. Leathers et al., Optical remote sensing of benthic habitats and bathymetry in coastal environments at Lee Stocking Island, Bahamas: A comparative spectral classification approach, Limnology and Oceanography, vol.48, issue.1part2, pp.511-521, 2003.

P. Villa, M. Bresciani, R. Bolpagni, M. Pinardi, and C. Giardino, A rule-based approach for mapping macrophyte communities using multi-temporal aquatic vegetation indices, Remote Sensing of Environment, vol.171, pp.218-233, 2015.

J. Kotta, K. Remm, E. Vahtmäe, T. Kutser, and H. Orav-kotta, In-air spectral signatures of the Baltic Sea macrophytes and their statistical separability, Journal of Applied Remote Sensing, vol.8, issue.1, p.083634, 2014.

E. Vahtmäe, B. Paavel, and T. Kutser, How much benthic information can be retrieved with hyperspectral sensor from the optically complex coastal waters?, Journal of Applied Remote Sensing, vol.14, issue.01, p.1, 2020.