Articles | Volume 1-osr7
https://doi.org/10.5194/sp-1-osr7-11-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/sp-1-osr7-11-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
27 Sep 2023
| OSR7 | Chapter 3.2
| 27 Sep 2023 | OSR7 | Chapter 3.2
Characterization of the organic vs. inorganic fraction of suspended particulate matter in coastal waters based on ocean color radiometry remote sensing
Hubert Loisel
CORRESPONDING AUTHOR
Université du Littoral Côte d’Opale, CNRS, Univ. Lille, IRD, UMR 8187 – LOG – Laboratoire d’Océanologie et de Géosciences, 62930 Wimereux, France
Lucile Duforêt-Gaurier
Université du Littoral Côte d’Opale, CNRS, Univ. Lille, IRD, UMR 8187 – LOG – Laboratoire d’Océanologie et de Géosciences, 62930 Wimereux, France
Trung Kien Tran
Université du Littoral Côte d’Opale, CNRS, Univ. Lille, IRD, UMR 8187 – LOG – Laboratoire d’Océanologie et de Géosciences, 62930 Wimereux, France
Daniel Schaffer Ferreira Jorge
Université du Littoral Côte d’Opale, CNRS, Univ. Lille, IRD, UMR 8187 – LOG – Laboratoire d’Océanologie et de Géosciences, 62930 Wimereux, France
François Steinmetz
HYGEOS, Euratechnologies, 165 avenue de Bretagne, 59000 Lille, France
Antoine Mangin
ACRI-ST, 260 Route du Pin Montard, 06904 Sophia-Antipolis, France
Marine Bretagnon
ACRI-ST, 260 Route du Pin Montard, 06904 Sophia-Antipolis, France
Odile Hembise Fanton d'Andon
ACRI-ST, 260 Route du Pin Montard, 06904 Sophia-Antipolis, France
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Hubert Loisel, Daniel Schaffer Ferreira Jorge, Rick A. Reynolds, and Dariusz Stramski
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Tihomir S. Kostadinov, Lisl Robertson Lain, Christina Eunjin Kong, Xiaodong Zhang, Stéphane Maritorena, Stewart Bernard, Hubert Loisel, Daniel S. F. Jorge, Ekaterina Kochetkova, Shovonlal Roy, Bror Jonsson, Victor Martinez-Vicente, and Shubha Sathyendranath
Ocean Sci., 19, 703–727, https://doi.org/10.5194/os-19-703-2023, https://doi.org/10.5194/os-19-703-2023, 2023
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Marie Barbieux, Julia Uitz, Alexandre Mignot, Collin Roesler, Hervé Claustre, Bernard Gentili, Vincent Taillandier, Fabrizio D'Ortenzio, Hubert Loisel, Antoine Poteau, Edouard Leymarie, Christophe Penkerc'h, Catherine Schmechtig, and Annick Bricaud
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M. A. Soppa, D. A. Dinh, B. Silva, F. Steinmetz, L. Alvarado, and A. Bracher
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-1-W1-2021, 69–72, https://doi.org/10.5194/isprs-archives-XLVI-1-W1-2021-69-2022, https://doi.org/10.5194/isprs-archives-XLVI-1-W1-2021-69-2022, 2022
Maria Paula da Silva, Lino A. Sander de Carvalho, Evlyn Novo, Daniel S. F. Jorge, and Claudio C. F. Barbosa
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Short summary
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In this study, we analyze the seasonal changes in the dissolved organic matter (DOM) quality (based on its optical properties) in four Amazon floodplain lakes. DOM plays a fundamental role in surface water chemistry, controlling metal bioavailability and mobility, and nutrient cycling. The model proposed in our paper highlights the potential to study DOM quality at a wider spatial scale, which may help to better understand the persistence and fate of DOM in the ecosystem.
André Valente, Shubha Sathyendranath, Vanda Brotas, Steve Groom, Michael Grant, Malcolm Taberner, David Antoine, Robert Arnone, William M. Balch, Kathryn Barker, Ray Barlow, Simon Bélanger, Jean-François Berthon, Şükrü Beşiktepe, Yngve Borsheim, Astrid Bracher, Vittorio Brando, Elisabetta Canuti, Francisco Chavez, Andrés Cianca, Hervé Claustre, Lesley Clementson, Richard Crout, Robert Frouin, Carlos García-Soto, Stuart W. Gibb, Richard Gould, Stanford B. Hooker, Mati Kahru, Milton Kampel, Holger Klein, Susanne Kratzer, Raphael Kudela, Jesus Ledesma, Hubert Loisel, Patricia Matrai, David McKee, Brian G. Mitchell, Tiffany Moisan, Frank Muller-Karger, Leonie O'Dowd, Michael Ondrusek, Trevor Platt, Alex J. Poulton, Michel Repecaud, Thomas Schroeder, Timothy Smyth, Denise Smythe-Wright, Heidi M. Sosik, Michael Twardowski, Vincenzo Vellucci, Kenneth Voss, Jeremy Werdell, Marcel Wernand, Simon Wright, and Giuseppe Zibordi
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Philippe Garnesson, Antoine Mangin, Odile Fanton d'Andon, Julien Demaria, and Marine Bretagnon
Ocean Sci., 15, 819–830, https://doi.org/10.5194/os-15-819-2019, https://doi.org/10.5194/os-15-819-2019, 2019
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This paper concerns the GlobColour chlorophyll α products disseminated by the Copernicus Marine Environmental Monitoring Service (CMEMS). The strategies for merging and flagging remote-sensing data are discussed. Results are illustrated by comparing the CMEMS GlobColour products provided by ACRI-ST with the OC-CCI/C3S products. This highlights the capability of GlobColour to obtain a better spatial coverage and to ingest the OLCI data in complement with SeaWiFS, MERIS, MODIS and VIIRS sensors.
André Valente, Shubha Sathyendranath, Vanda Brotas, Steve Groom, Michael Grant, Malcolm Taberner, David Antoine, Robert Arnone, William M. Balch, Kathryn Barker, Ray Barlow, Simon Bélanger, Jean-François Berthon, Şükrü Beşiktepe, Vittorio Brando, Elisabetta Canuti, Francisco Chavez, Hervé Claustre, Richard Crout, Robert Frouin, Carlos García-Soto, Stuart W. Gibb, Richard Gould, Stanford Hooker, Mati Kahru, Holger Klein, Susanne Kratzer, Hubert Loisel, David McKee, Brian G. Mitchell, Tiffany Moisan, Frank Muller-Karger, Leonie O'Dowd, Michael Ondrusek, Alex J. Poulton, Michel Repecaud, Timothy Smyth, Heidi M. Sosik, Michael Twardowski, Kenneth Voss, Jeremy Werdell, Marcel Wernand, and Giuseppe Zibordi
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P. R. Renosh, F. G. Schmitt, and H. Loisel
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Short summary
Short summary
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A. Bracher, M. H. Taylor, B. Taylor, T. Dinter, R. Röttgers, and F. Steinmetz
Ocean Sci., 11, 139–158, https://doi.org/10.5194/os-11-139-2015, https://doi.org/10.5194/os-11-139-2015, 2015
Short summary
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We have developed a method to assess pigment concentrations from continuous optical measurements by applying an empirical orthogonal function analysis to remote-sensing reflectance data derived from hyperspectral ship-based and multispectral satellite measurements in the Atlantic Ocean. The method allows for the derivation of time series from continuous reflectance data of various pigment groups at various regions, which can be used to study phytoplankton composition and photophysiology.
C. Tétard, D. Fussen, F. Vanhellemont, C. Bingen, E. Dekemper, N. Mateshvili, D. Pieroux, C. Robert, E. Kyrölä, J. Tamminen, V. Sofieva, A. Hauchecorne, F. Dalaudier, J.-L. Bertaux, O. Fanton d'Andon, G. Barrot, L. Blanot, A. Dehn, and L. Saavedra de Miguel
Atmos. Meas. Tech., 6, 2953–2964, https://doi.org/10.5194/amt-6-2953-2013, https://doi.org/10.5194/amt-6-2953-2013, 2013
Cited articles
Ahn, Y. H., Shanmugam, P., and Moon, J. E.: Retrieval of ocean colour from high resolution multi‐spectral imagery for monitoring highly dynamic ocean features, Int. J. Remote Sens., 27, 367–392, https://doi.org/10.1080/01431160500300479, 2006. a
Antajan, E., Chrétiennot-Dinet, M.-J., Leblanc, C., Daro, M.-H., and Lancelot, C.: 19′-hexanoyloxyfucoxanthin may not be the appropriate pigment to trace occurrence and fate of Phaeocystis: the case of P. globosa in Belgian coastal waters, J. Sea Res., 52, 165–177, https://doi.org/10.1016/j.seares.2004.02.003, 2004. a
Anthony, E. J., Brunnier, G., Besset, M., Goichot, M., Dussouillez, P., and Nguyen, V. L.: Linking rapid erosion of the Mekong River delta to human activities, Sci. Rep.-UK, 5, 14745, https://doi.org/10.1038/srep14745, 2015.
a
Aumont, O., Ethé, C., Tagliabue, A., Bopp, L., and Gehlen, M.: PISCES-v2: an ocean biogeochemical model for carbon and ecosystem studies, Geosci. Model Dev., 8, 2465–2513, https://doi.org/10.5194/gmd-8-2465-2015, 2015. a
Babin, M., Morel, A., Fournier-Sicre, V., Fell, F., and Stramski, D.: Light scattering properties of marine particles in coastal and open ocean waters as related to the particle mass concentration, Limnol. Oceanogr., 48, 843–859, https://doi.org/10.4319/lo.2003.48.2.0843, 2003. a
Bailey, S. W. and Werdell, P. J.: A multi-sensor approach for the on-orbit validation of ocean color satellite data products, Remote Sens. Environ., 102, 12–23, https://doi.org/10.1016/j.rse.2006.01.015, 2006. a
Balasubramanian, S. V., Pahlevan, N., Smith, B., Binding, C., Schalles, J., Loisel, H., Gurlin, D., Greb, S., Alikas, K., Randla, M., Bunkei, M., Moses, W., Nguy\^{e}̃n, H., Lehmann, M. K., O'Donnell, D., Ondrusek, M., Han, T.-H., Fichot, C. G., Moore, T., and Boss, E.: Robust algorithm for estimating total suspended solids (TSS) in inland and nearshore coastal waters, Remote Sens. Environ., 246, 111768, https://doi.org/10.1016/j.rse.2020.111768, 2020. a
Bonato, S., Breton, E., Didry, M., Lizon, F., Cornille, V., Lécuyer, E., Christaki, U., and Artigas, L. F.: Spatio-temporal patterns in phytoplankton assemblages in inshore–offshore gradients using flow cytometry: A case study in the eastern English Channel, J. Marine Syst., 156, 76–85, https://doi.org/10.1016/j.jmarsys.2015.11.009, 2016. a
Boss, E., Pegau, W. S., Lee, M., Twardowski, M., Shybanov, E., Korotaev, G., and Baratange, F.: Particulate backscattering ratio at LEO 15 and its use to study particle composition and distribution, J. Geophys. Res., 109, C01014, https://doi.org/10.1029/2002JC001514, 2004. a
Breton, E., Brunet, C., Sautour, B., and Brylinski, J.-M.: Annual variations of phytoplankton biomass in the Eastern English Channel: comparison by pigment signatures and microscopic counts, J. Plankton Res., 22, 1423–1440, https://doi.org/10.1093/plankt/22.8.1423, 2000. a
Brunet, C., Brylinski, J., Bodineau, L., Thoumelin, G., Bentley, D., and Hilde, D.: Phytoplankton Dynamics During the Spring Bloom in the South-eastern English Channel, Estuar. Coast. Shelf S., 43, 469–483,
https://doi.org/10.1006/ecss.1996.0082, 1996. a
Bélanger, S., Babin, M., and Larouche, P.: An empirical ocean color algorithm for estimating the contribution of chromophoric dissolved organic matter to total light absorption in optically complex waters, J. Geophys. Res., 113, C04027, https://doi.org/10.1029/2007JC004436, 2008. a
Colella, S., Böhm, E., Cesarini, C., Garnesson, P., Netting, J., and Calton, B.: EU Copernicus Marine Service Product User Manual for the
Copernicus-GlobColour Products, Issue 3.0, Mercator Ocean International,
https://catalogue.marine.copernicus.eu/documents/PUM/CMEMS-OC-PUM.pdf (last access: 24 April 2023), 2022. a
Coynel, A., Etcheber, H., Abril, G., Maneux, E., Dumas, J., and Hurtrez, J.-E.: Contribution of small mountainous rivers to particulate organic carbon input in the Bay of Biscay, Biogeochemistry, 74, 151–171, https://doi.org/10.1007/s10533-004-3362-1, 2005. a, b, c
Douillet, P., Ouillon, S., and Cordier, E.: A numerical model for fine suspended sediment transport in the southwest lagoon of New Caledonia, Coral Reefs, 20, 361–372, https://doi.org/10.1007/s00338-001-0193-6, 2001. a
Doxaran, D., Ehn, J., Bélanger, S., Matsuoka, A., Hooker, S., and Babin, M.: Optical characterisation of suspended particles in the Mackenzie River plume (Canadian Arctic Ocean) and implications for ocean colour remote sensing, Biogeosciences, 9, 3213–3229, https://doi.org/10.5194/bg-9-3213-2012, 2012. a, b
Doxaran, D., Devred, E., and Babin, M.: A 50 % increase in the mass of terrestrial particles delivered by the Mackenzie River into the Beaufort Sea (Canadian Arctic Ocean) over the last 10 years, Biogeosciences, 12, 3551–3565, https://doi.org/10.5194/bg-12-3551-2015, 2015. a
Duforêt-Gaurier, L., Dessailly, D., Moutier, W., and Loisel, H.: Assessing the Impact of a Two-Layered Spherical Geometry of Phytoplankton Cells on the Bulk Backscattering Ratio of Marine Particulate Matter, Appl. Sci.-Basel, 8, 2689, https://doi.org/10.3390/app8122689, 2018. a
Ehn, J. K., Reynolds, R. A., Stramski, D., Doxaran, D., Lansard, B., and Babin, M.: Patterns of suspended particulate matter across the continental margin in the Canadian Beaufort Sea during summer, Biogeosciences, 16, 1583–1605, https://doi.org/10.5194/bg-16-1583-2019, 2019. a
Emmerton, C. A., Lesack, L. F., and Vincent, W. F.: Nutrient and organic matter patterns across the Mackenzie River, estuary and shelf during the seasonal recession of sea-ice, J. Marine Syst., 74, 741–755, https://doi.org/10.1016/j.jmarsys.2007.10.001, 2008. a
EU Copernicus Marine Service Product: Global Ocean Colour
(Copernicus-GlobColour), Bio-Geo-Chemical, L3 (daily) from Satellite
Observations (1997–ongoing), Mercator Ocean International [data set],
https://doi.org/10.48670/moi-00280, 2022. a
Feng, L., Hu, C., Chen, X., and Song, Q.: Influence of the Three Gorges Dam on total suspended matters in the Yangtze Estuary and its adjacent coastal waters: Observations from MODIS, Remote Sens. Environ., 140, 779–788, https://doi.org/10.1016/j.rse.2013.10.002, 2014. a
Ford, W. I. and Fox, J. F.: Model of particulate organic carbon transport in an agriculturally impacted stream, Hydrol. Process., 28, 662–675, https://doi.org/10.1002/hyp.9569, 2014. a
Garnesson, P., Mangin, A., Bretagnon, M., and Jutard, Q.: EU Copernicus Marine Service Quality Information Document for the Copernicus-GlobColour Products, Issue 3.0, Mercator Ocean International,
https://catalogue.marine.copernicus.eu/documents/QUID/CMEMS-OC-QUID-009-101to104-111-113-116-118.pdf
(last access: 24 April 2023), 2022. a
Gensac, E., Martinez, J.-M., Vantrepotte, V., and Anthony, E. J.: Seasonal and inter-annual dynamics of suspended sediment at the mouth of the Amazon river: The role of continental and oceanic forcing, and implications for coastal geomorphology and mud bank formation, Cont. Shelf Res., 118, 49–62, https://doi.org/10.1016/j.csr.2016.02.009, 2016. a
Gohin, F.: Annual cycles of chlorophyll-a, non-algal suspended particulate matter, and turbidity observed from space and in-situ in coastal waters, Ocean Sci., 7, 705–732, https://doi.org/10.5194/os-7-705-2011, 2011. a, b
Gohin, F., Van der Zande, D., Tilstone, G., Eleveld, M. A., Lefebvre, A., Andrieux-Loyer, F., Blauw, A. N., Bryère, P., Devreker, D., Garnesson, P., Hernández Fariñas, T., Lamaury, Y., Lampert, L., Lavigne, H., Menet-Nedelec, F., Pardo, S., and Saulquin, B.: Twenty years of satellite and in situ observations of surface chlorophyll-a from the northern Bay of Biscay to the eastern English Channel. Is the water quality improving?, Remote Sens. Environ., 233, 111343, https://doi.org/10.1016/j.rse.2019.111343, 2019. a
Grattepanche, J.-D., Vincent, D., Breton, E., and Christaki, U.: Microzooplankton herbivory during the diatom–Phaeocystis spring succession in the eastern English Channel, J. Exp. Mar. Biol. Ecol., 404, 87–97, https://doi.org/10.1016/j.jembe.2011.04.004, 2011. a
Groom, S., Sathyendranath, S., Ban, Y., Bernard, S., Brewin, R., Brotas, V., Brockmann, C., Chauhan, P., Choi, J.-k., Chuprin, A., Ciavatta, S., Cipollini, P., Donlon, C., Franz, B., He, X., Hirata, T., Jackson, T., Kampel, M., Krasemann, H., Lavender, S., Pardo-Martinez, S., Mélin, F., Platt, T., Santoleri, R., Skakala, J., Schaeffer, B., Smith, M., Steinmetz, F., Valente, A., and Wang, M.: Satellite Ocean Colour: Current Status and Future Perspective, Frontiers in Marine Science, 6, 485, https://doi.org/10.3389/fmars.2019.00485, 2019. a
Hagan, M. T., Demuth, H. B., and Beale, M. H.: Neural network design, PWS Publishing, Boston, ISBN 10: 0534943322 – ISBN 13: 9780534943325, 1996. a
Han, B., Loisel, H., Vantrepotte, V., Mériaux, X., Bryère, P., Ouillon, S., Dessailly, D., Xing, Q., and Zhu, J.: Development of a Semi-Analytical Algorithm for the Retrieval of Suspended Particulate Matter from Remote Sensing over Clear to Very Turbid Waters, Remote Sens.-Basel, 8, 211, https://doi.org/10.3390/rs8030211, 2016. a, b
Hu, S., Cao, W., Wang, G., Xu, Z., Lin, J. F., Zhao, W., Yang, Y., Zhou, W., Sun, Z., and Yao, L.: Comparison of MERIS, MODIS, SeaWiFS-derived particulate organic carbon, and in situ measurements in the South China Sea, Int. J. Remote Sens.-Basel, 37, 1585–1600, https://doi.org/10.1080/01431161.2015.1088673, 2016. a
Hung, J.-J., Chan, C.-L., and Gong, G.-C.: Summer distribution and geochemical composition of suspended-particulate matter in the East China Sea, J. Oceanogr., 63, 189–202, https://doi.org/10.1007/s10872-007-0021-x, 2007. a
IOCCG: Remote Sensing of Ocean Colour in Coastal, and Other Optically-Complex, Waters, in: Reports of the International Ocean-Colour Coordinating Group, 3, edited by: Sathyendranath, S., International Ocean-Colour Coordinating Group (IOCCG), Dartmouth, NS, Canada,
140 pp., https://doi.org/10.25607/OBP-95, 2000. a
IOCCG: Earth Observations in Support of Global Water Quality Monitoring, in: Reports of the International Ocean-Colour Coordinating Group, No. 17, edited by: Greb, S., Dekker, A., and Binding, C., Ocean-Colour Coordinating Group (IOCCG), Dartmouth, NS, Canada, International, 125 pp., https://doi.org/10.25607/OBP-113, 2018. a
Joint, I. and Pomroy, A.: Phytoplankton biomass and production in the southern North Sea, Mar. Ecol. Prog. Ser., 99, 169–182, http://www.jstor.org/stable/24837760 (last access: 22 March 2023), 1993. a
Jorge, D. S., Loisel, H., Jamet, C., Dessailly, D., Demaria, J., Bricaud, A., Maritorena, S., Zhang, X., Antoine, D., Kutser, T., Bélanger, S., Brando, V. O., Werdell, J., Kwiatkowska, E., Mangin, A., and d'Andon, O. F.: A three-step semi analytical algorithm (3SAA) for estimating inherent optical properties over oceanic, coastal, and inland waters from remote sensing reflectance, Remote Sens. Environ., 263, 112537, https://doi.org/10.1016/j.rse.2021.112537, 2021. a
Lahet, F. and Stramski, D.: MODIS imagery of turbid plumes in San Diego coastal waters during rainstorm events, Remote Sens. Environ., 114, 332–344, https://doi.org/10.1016/j.rse.2009.09.017, 2010. a
Lancelot, C., Gypens, N., Billen, G., Garnier, J., and Roubeix, V.: Testing an integrated river–ocean mathematical tool for linking marine eutrophication to land use: The Phaeocystis-dominated Belgian coastal zone (Southern North Sea) over the past 50 years, J. Marine Syst., 216–228, https://doi.org/10.1016/j.jmarsys.2006.03.010, 2007. a
Le, C., Lehrter, J. C., Hu, C., MacIntyre, H., and Beck, M. W.: Satellite observation of particulate organic carbon dynamics on the Louisiana continental shelf, J. Geophys. Res.-Oceans, 122, 555–569, https://doi.org/10.1002/2016JC012275, 2017. a
Lesourd, S., Lesueur, P., Brun-Cottan, J., Garnaud, S., and Poupinet, N.: Seasonal variations in the characteristics of superficial sediments in a macrotidal estuary (the Seine inlet, France), Estuar. Coast. Shelf S., 58, 3–16, https://doi.org/10.1016/S0272-7714(02)00340-2, 2003. a
Liu, D., Pan, D., Bai, Y., He, X., Wang, D., Wei, J.-A., and Zhang, L.: Remote Sensing Observation of Particulate Organic Carbon in the Pearl River Estuary, Remote. Sens.-Basel, 7, 8683–8704, 2015. a
Loisel, H., Mériaux, X., Berton, J.-F., and Poteau, A.: Investigation of the optical backscattering to scattering ratio of marine particles in relation to their biogeochemical composition in the eastern English Channel and southern North Sea, Limnol. Oceanogr., 52, 739–752, https://doi.org/10.4319/lo.2007.52.2.0739, 2007. a, b, c, d, e, f, g
Loisel, H., Vantrepotte, V., Jamet, C., and Dat, D. N.: Challenges and New Advances in Ocean Color Remote Sensing of Coastal Waters, chap. 4, in: Topics in Oceanography, edited by: Zambianchi, E., IntechOpen, Rijeka, https://doi.org/10.5772/56414, 2013. a
Loisel, H., Mangin, A., Vantrepotte, V., Dessailly, D., Ngoc Dinh, D., Garnesson, P., Ouillon, S., Lefebvre, J.-P., Mériaux, X., and Minh Phan, T.: Variability of suspended particulate matter concentration in coastal waters under the Mekong's influence from ocean color (MERIS) remote sensing over the last decade, Remote Sens. Environ., 150, 218–230, https://doi.org/10.1016/j.rse.2014.05.006, 2014. a, b, c
Loisel, H., Vantrepotte, V., Ouillon, S., Ngoc, D. D., Meriaux, X., Dessailly, D., Jamet, C., Duhaut, T., Nguyen, H. H., and Van Nguyen, T.: Assessment and analysis of the chlorophyll-a concentration variability over the vietnamese coastal waters from the meris ocean color sensor (2002–2012), Remote Sens. Environ., 190, 217–232, https://doi.org/10.1016/j.rse.2016.12.016, 2017. a, b
Lubac, B. and Loisel, H.: Variability and classification of remote sensing reflectance spectra in the eastern English Channel and southern North Sea, Remote Sens. Environ., 110, 45–58, https://doi.org/10.1016/j.rse.2007.02.012, 2007. a
Lubac, B., Loisel, H., Guiselin, N., Astoreca, R., Artigas, L.-F., and Mériaux, X.: Hyperspectral and multispectral ocean color inversions to detect phaeocystis globosablooms in coastal waters, J. Geophys. Res., 113, C06026, https://doi.org/10.1029/2007JC004451, 2008. a, b
Lv, C., Xing, Y., Zhang, J., Na, X., Li, Y., Liu, T., Cao, D., and Wang, F.-Y.: Levenberg–Marquardt Backpropagation Training of Multilayer Neural Networks for State Estimation of a Safety-Critical Cyber-Physical System, IEEE T. Ind. Inform., 14, 3436–3446, https://doi.org/10.1109/TII.2017.2777460, 2018. a
Marchesiello, P., Nguyen, N. M., Gratiot, N., Loisel, H., Anthony, E. J., Dinh, C. S., Nguyen, T., Almar, R., and Kestenare, E.: Erosion of the coastal Mekong delta: Assessing natural against man induced processes, Cont. Shelf Res., 181, 72–89, https://doi.org/10.1016/j.csr.2019.05.004, 2019. a
Mengual, B., Hir, P. L., Cayocca, F., and Garlan, T.: Modelling Fine Sediment Dynamics: Towards a Common Erosion Law for Fine Sand, Mud and Mixtures, Water, 9, 564, https://doi.org/10.3390/w9080564, 2017. a
Mélin, F. and Vantrepotte, V.: How optically diverse is the coastal ocean?, Remote Sens. Environ., 160, 235–251, https://doi.org/10.1016/j.rse.2015.01.023, 2015. a
Nechad, B., Ruddick, K., and Park, Y.: Calibration and validation of a generic multisensor algorithm for mapping of total suspended matter in turbid waters, Remote Sens. Environ., 114, 854–866, https://doi.org/10.1016/j.rse.2009.11.022, 2010. a
Neukermans, G., Loisel, H., Mériaux, X., Astoreca, R., and McKee, D.: In situ variability of mass-specific beam attenuation and backscattering of marine particles with respect to particle size, density, and composition, Limnol. Oceanogr., 57, 124–144, https://doi.org/10.4319/lo.2012.57.1.0124, 2012. a
Neukermans, G., Reynolds, R., and Stramski, D.: Optical classification and characterization of marine particle assemblage within the western Artic Ocean, Limnol. Oceanogr., 61, 1472–1494, https://doi.org/10.1002/lno.10316, 2016. a, b
Novoa, S., Doxaran, D., Ody, A., Vanhellemont, Q., Lafon, V., Lubac, B., and Gernez, P.: Atmospheric Corrections and Multi-Conditional Algorithm for Multi-Sensor Remote Sensing of Suspended Particulate Matter in Low-to-High Turbidity Levels Coastal Waters, Remote Sens.-Basel, 9, 61, https://doi.org/10.3390/rs9010061, 2017. a
Pahlevan, N., Smith, B., Alikas, K., Anstee, J., Barbosa, C., Binding, C., Bresciani, M., Cremella, B., Giardino, C., Gurlin, D., Fernandez, V., Jamet, C., Kangro, K., Lehmann, M. K., Loisel, H., Matsushita, B., Hà, N., Olmanson, L., Potvin, G., Simis, S. G., VanderWoude, A., Vantrepotte, V., and Ruiz-Verdù, A.: Simultaneous retrieval of selected optical water quality indicators from Landsat-8, Sentinel-2, and Sentinel-3, Remote Sens. Environ., 270, 112860, https://doi.org/10.1016/j.rse.2021.112860, 2022. a
Portillo Juan, N. and Negro Valdecantos, V.: Review of the application of Artificial Neural Networks in ocean engineering, Ocean Eng., 259, 111947, https://doi.org/10.1016/j.oceaneng.2022.111947, 2022. a
Renosh, P., Schmitt, F. G., Loisel, H., Sentchev, A., and Mériaux, X.: High frequency variability of particle size distribution and its dependency on turbulence over the sea bottom during re-suspension processes, Cont. Shelf Res., 77, 51–60, https://doi.org/10.1016/j.csr.2014.01.024, 2014. a
Reynolds, R. A. and Stramski, D.: Optical characterization of marine phytoplankton assemblages within surface waters of the western Arctic Ocean, Limnol. Oceanogr., 64, 2478–2496, https://doi.org/10.1002/lno.11199, 2019. a
Reynolds, R. A., Stramski, D., and Neukermans, G.: Optical backscattering by particles in Arctic seawater and relationships to particle mass concentration, size distribution, and bulk composition, Limnol. Oceanogr., 61, 1869–1890, https://doi.org/10.1002/lno.10341, 2016. a, b
Sazhin, A., Artigas, L. F., Nejstgaard, J., and Frischer, M.: The colonization of two Phaeocystis species (Prymnesiophyceae) by pennate diatoms and other protists: A significant contribution to colony biomass, Biogeochemistry, 83, 137–145, https://doi.org/10.1007/s10533-007-9086-2, 2007. a
Shchepetkin, A. F. and McWilliams, J. C.: The regional oceanic modeling system (ROMS): a split-explicit, free-surface, topography-following-coordinate oceanic model, Ocean Model., 9, 347–404, https://doi.org/10.1016/j.ocemod.2004.08.002, 2005. a
Steinmetz, F. and Ramon, D.: Sentinel-2 MSI and Sentinel-3 OLCI consistent
ocean colour products using POLYMER, in: Remote Sensing of the Open and
Coastal Ocean and Inland Waters, edited by: Frouin, R. J. and Murakami, H.,
International Society for Optics and Photonics, SPIE, 10778, 46–55, https://doi.org/10.1117/12.2500232, 2018. a
Steinmetz, F., Deschamps, P.-Y., and Ramon, D.: Atmospheric correction in presence of sun glint: application to MERIS, Opt. Express, 19, 9783–9800,
https://doi.org/10.1364/OE.19.009783, 2011. a
Tran, T. K., Duforêt-Gaurier, L., Vantrepotte, V., Jorge, D. S. F., Mériaux, X., Cauvin, A., Fanton d'Andon, O., and Loisel, H.: Deriving Particulate Organic Carbon in Coastal Waters from Remote Sensing: Inter-Comparison Exercise and Development of a Maximum Band-Ratio Approach, Remote Sens.-Basel, 11, 2849, https://doi.org/10.3390/rs11232849, 2019. a, b, c
Twardowski, M. S., Boss, E., Macdonald, J. B., Pegau, W. S., Barnard, A. H., and Zaneveld, J. R. V.: A model for estimating bulk refractive index from the optical backscattering ratio and the implications for understanding particle composition in case I and case II waters, J. Geophys. Res., 106, 14129–14142, https://doi.org/10.1029/2000JC000404, 2001. a, b, c
Van der Zande, D., Lacroix, G., and Ruddick, K.: Observing and explaining the timing of spring/summer algal blooms in the Southern North Sea using ocean colour remote sensing, in: Proceedings of the Ocean Optics XXI, Glasgow, Scotland, 8-12 October 2012. a
Vantrepotte, V., Brunet, C., Mériaux, X., Lécuyer, E., Vellucci, V., and Santer, R.: Bio-optical properties of coastal waters in the Eastern English Channel, Estuarine, Coast. Shelf Sci., 72, 201–212, https://doi.org/10.1016/j.ecss.2006.10.016, 2007.
a, b, c
Vantrepotte, V., Loisel, H., Mélin, F., Desailly, D., and Duforêt-Gaurier, L.: Global particulate matter pool temporal variability over the SeaWiFS period (1997–2007), Geophys. Res. Lett., 38, L02605, https://doi.org/10.1029/2010GL046167, 2011. a, b
Vantrepotte, V., Loisel, H., Dessailly, D., and Mériaux, X.: Optical classification of contrasted coastal waters, Remote Sens. Environ., 123, 306–323, https://doi.org/10.1016/j.rse.2012.03.004, 2012. a, b, c
Vantrepotte, V., Danhiez, F.-P., Loisel, H., Ouillon, S., Mériaux, X., Cauvin, A., and Dessailly, D.: CDOM-DOC relationship in contrasted coastal waters: implication for DOC retrieval from ocean color remote sensing observation., Opt. Express, 23, 33–54, https://doi.org/10.1364/OE.23.000033, 2015. a
Varona, H., Veleda, D., Silva, M., Cintra, M., and Araujo, M.: Amazon River plume influence on Western Tropical Atlantic dynamic variability, Dynam. Atmos. Oceans, 85, 1–15, https://doi.org/10.1016/j.dynatmoce.2018.10.002, 2019. a
Velegrakis, A., Gao, S., Lafite, R., Dupont, J., Huault, M., Nash, L., and Collins, M.: Resuspension and advection processes affecting suspended particulate matter concentrations in the central English Channel, J. Sea Res., 38, 17–34, https://doi.org/10.1016/S1385-1101(97)00041-5, 1997. a
Woźniak, S. B., Stramski, D., Stramska, M., Reynolds, R. A., Wright, V. M., Miksic, E. Y., Cichocka, M., and Cieplak, A. M.: 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., 115, C08027, https://doi.org/10.1029/2009JC005554, 2010. a, b, c, d, e, f, g, h
Woźniak, S. B., Meler, J., Lednicka, B., Zdun, A., and Stoń-Egiert, J.: Inherent optical properties of suspended particulate matter in the southern Baltic Sea, Oceanologia, 53, 691–729, https://doi.org/10.5697/oc.53-3.691, 2011. a
Woźniak, S. B., Darecki, M., Zabłocka, M., Burska, D., and Dera, J.: New simple statistical formulas for estimating surface concentrations of suspended particulate matter (SPM) and particulate organic carbon (POC) from remote-sensing reflectance in the southern Baltic Sea, Oceanologia, 58, 161–175, https://doi.org/10.1016/j.oceano.2016.03.002, 2016. a
Wu, Y., Fang, H., Huang, L., and Cui, Z.: Particulate organic carbon dynamics with sediment transport in the upper Yangtze River, Water Res., 184, 116193, https://doi.org/10.1016/j.watres.2020.116193, 2020. a
Short summary
In this paper, we will show how a proxy for particulate composition (PPC), classifying the suspended particulate matter into its organic, mineral, or mixed fractions, can be estimated from remote-sensing observations. The selected algorithm will then be applied to MERIS observations (2002–2012) over global coastal waters to discuss the significance of this new product. A specific focus will be on the English Channel and the southern North Sea.
In this paper, we will show how a proxy for particulate composition (PPC), classifying the...
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