Satellite and In Situ Monitoring of Chl-a, Turbidity, and Total Suspended Matter in Coastal Waters: Experience of the Year 2017 along the French Coasts
Type | Article | ||||||||
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Date | 2020-09 | ||||||||
Language | English | ||||||||
Author(s) | Gohin Francis1, Bryère Philippe2, Lefebvre Alain![]() ![]() ![]() |
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Affiliation(s) | 1 : Laboratoire d’écologie pélagique, IFREMER, DYNECO PELAGOS, CS 10070-29280 Plouzané, Brittany, France 2 : Argans France, Etablissement de Brest, Le Grand Large Quai de la Douane, 29200 Brest, France 3 : Laboratoire Environnement et Ressources de Boulogne-sur-mer, IFREMER, Quai Gambetta, BP 699, 62321 Boulogne-sur-mer, France 4 : Littoral Environnement et Sociétés (LIENSs, UMR7266), CNRS, Univ. La Rochelle, 2 rue Olympe de Gouges, 17000 La Rochelle, France 5 : EPOC, EPHE, UMR 5805, CNRS, Univ. Bordeaux, F-33600 Pessac, France 6 : Laboratoire d’Océanologie et de Géosciences LOG UMR8187, ULCO, Univ. Lille CNRS, 62930 Wimereux, France 7 : Station Biologique de Roscoff, UPMC Univ. Paris 06, CNRS, UMR 7144 AD2M, Sorbonne Université, 29680 Roscoff, France 8 : Station Biologique de Roscoff, CNRS, Fédération de Recherche (FR2424), Sorbonne Université, 29680 Roscoff, France 9 : Laboratoire d’Océanographie Microbienne (LOMIC), Sorbonne Université, UPMC (Paris VI), CNRS UMR 7621, 66650 Banyuls Sur Mer, France 10 : Laboratoire Environnement et Ressources Provence-Azur-Corse, IFREMER, Zone Portuaire de Brégaillon, CS20 330, CEDEX, 83507 La Seyne-sur-Mer, France 11 : IFREMER—UMR 5244 IHPE, Université de Montpellier, Place Eugène Bataillon, CC 80, CEDEX 5, 34095 Montpellier, France 12 : Laboratoire Environnement et Ressources de Normandie, IFREMER, Av. Du Général de Gaulle, BP, 32-14520 Port en Bessin, France 13 : Laboratory of Oceanology, FOCUS Research Unit, Univ. Liège, Allée du 6 août, 11, B6c, 4000 Liège, Belgium 14 : VIGIES, IFREMER, rue de l’Île d’Yeu, CEDEX 03, 44311 Nantes, France 15 : Laboratoire Environnement et Ressources des Pertuis Charentais, IFREMER, Avenue de Mus de Loup—Ronce les Bains, 17390 La Tremblade, France 16 : Mediterranean Institute of Oceanography (MIO) UM 110, IRD, CNRS/INSU, Univ. Aix-Marseille, Université de Toulon, 13288 Marseille, France 17 : Laboratoire Environnement et Ressources Morbihan/Pays de Loire, IFREMER, rue François Toullec, 56100 Lorient, France |
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Source | Journal Of Marine Science And Engineering (2077-1312) (MDPI AG), 2020-09 , Vol. 8 , N. 9 , P. 665 (25p.) | ||||||||
DOI | 10.3390/jmse8090665 | ||||||||
WOS© Times Cited | 9 | ||||||||
Note | This article belongs to the Special Issue Marine Observation and Monitoring towards an Ecosystem Approach | ||||||||
Keyword(s) | satellite, coastal monitoring, Chlorophyll-a, Total suspended matter, turbidity | ||||||||
Abstract | The consistency of satellite and in situ time series of Chlorophyll-a (Chl-a), Turbidity and Total Suspended Matters (TSM) was investigated at 17 coastal stations throughout the year 2017. These stations covered different water types, from relatively clear waters in the Mediterranean Sea to moderately turbid regions in the Bay of Biscay and the southern bight of the North-Sea. Satellite retrievals were derived from MODIS/AQUA, VIIRS/NPP and OLCI-A/Sentinel-3 spectral reflectance. In situ data were obtained from the coastal phytoplankton networks SOMLIT (CNRS), REPHY (Ifremer) and associated networks. Satellite and in situ retrievals of the year 2017 were compared to the historical seasonal cycles and percentiles, 10 and 90, observed in situ. Regarding the sampling frequency in the Mediterranean Sea, a weekly in situ sampling allowed all major peaks in Chl-a caught from space to be recorded at sea, and, conversely, all in situ peaks were observed from space in a frequently cloud-free atmosphere. In waters of the Eastern English Channel, lower levels of Chl-a were observed, both in situ and from space, compared to the historical averages. However, despite a good overall agreement for low to moderate biomass, the satellite method, based on blue and green wavelengths, tends to provide elevated and variable Chl-a in a high biomass environment. Satellite-derived TSM and Turbidity were quite consistent with in situ measurements. Moreover, satellite retrievals of the water clarity parameters often showed a lower range of variability than their in situ counterparts did, being less scattered above and under the seasonal curves of percentiles 10 and 90 |
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