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fullscreen: The Copernicus marine service from 2015 to 2021

MERCATOR OCEAN JOURNA: 
SEPTEMBER 2021 
Kajiyama T., D. D’Alimonte, 
and G. Zibordi, “Algorithms 
merging for the determination 
2f Chlorophyll-a concentration in 
the Black Sea,’ IEEE Geoscience 
and Remote Sensing Letters, 
2018. [Online]. Available: 
https://-www.doi.org 
/10.1109/-LGRS.2018.2883539 
Keukelaere, L. De, S. Sterckx, 
S. Adriaensen, E. Knaeps, 
i. Reusen, C. Giardino, M. 
Bresciani, et al., 2018. 
Atmospheric Correction of 
Landsat-8/0LI and Sentinel-2/ 
MSI Data Using ICOR Algorithm: 
Yalidation for Coastal and Inland 
Waters.” European Journal of 
Remote Sensing 51 (1): 525-42. 
https://doi.org/10.1080/227972 
54.2018.1457937. 
Lavigne, H.; Van Der Zande, 
D.; Ruddick, K.; Cardoso dos 
Santos, J.; Gohin, F.; Brotas, 
V.; Kratzer, S. (2021). Quality- 
control tests for 0C4, 0C5 and 
NIR-red satellite Chlorophyll-a 
algorithms applied to coastal 
waters, Remote Sensing of 
Environment, in press. 
Nechad, B.; Ruddick, K.G.; 
Park, Y. (2010). Calibration 
and validation of a generic 
nultisensor algorithm for 
mapping of total suspended 
matter in turbid waters, Remote 
Sensing of the Environment, v 
1714, p. 854-866 
Novoa, S.; Doxaran, D.; Ody, 
A.; Vanhellement, Q.; Lafon, 
V.; Lubac, B.; Gernez, P. (2017) 
Atmospheric corrections and 
mnulti-conditional algorithm for 
Multi-sensor remote sensing of 
suspended particulate matter 
:n low-to-high turbidity levels 
z0astal waters. Remote Sens.,, v. 
3, 61,001 10.3390/r59010061 
Le Traon, P. Y., Ali, A., Alvarez 
"anjul, E., Aouf, L., Axell, 
.., Aznar, R., et al., (2017). 
"he copernicus marine 
anvironmental monitoring 
service: main scientific 
ıchievements and future 
prospects. Mercator. Ocn. J. 56, 
01. doi: 10.25575/56 
Le Traon, P. Y., Reppucci, A., et 
al., (2019) From Observation 
:o Information and Users: The 
Zopernicus Marine Service 
Derspective. Front. Mar. Sci., 6, 
234. https://dol.org/10.3389/ 
:mars.2019.00234. 
Pitarch, J., Volpe, G., Colella, 
5., Krasemann, H., and 
Santoleri, R.: Remote sensing of 
Zhlorophyll in the Baltic Sea at 
pDasin scale from 1997 to 2012 
Jsing merged multi-sensor 
data, Ocean Sci., 12, 379-389, 
'0.5194/0s-12-379-2016, 2016. 
Sathyendranath, S., Brewin, 
R. J. W., Jackson, T., Melin, 
F., and Platt, T.: Ocean-colour 
products for climate-change 
studies: What are their ideal 
characteristics?, Remote 
5ens. Environ., 203, 125-138 
attps://dol.org/10.1016/]. 
se.2017.04.017, 2017. 
Sathyendranath, S. et al., 
‘2019). An Ocean-Colour 
Timeseries for Use in Climate 
5tudies: The Experience of the 
Jcean-Colour Climate Change 
Initiative (0C-CCI). Sensors 
9 (19), 4285. https://doi. 
7rg/10.3390/s 19194285. 
Vanhellemont, Q., (2019). 
Adaptation of the dark spectrum 
‘itting atmospheric correction 
‘or aquatic applications of the 
andsat and Sentinel-2 archives 
Zemote Sensing of Environment 
225, 175-192. doi:10.1016/j. 
"se.2019.03.010. 
Volpe, G., Santoleri, R., Vellucei, 
V., Ribera d’Alcalä, M., Marullo, 
S., and D’Ortenzio, F.: The 
zolour of the Mediterranean 
5ea: Global versus regional bio- 
’ptical algorithms evaluatior. 
and im- plication for satellite 
Zhlorophyll estimates, Remote 
5ens. Environ., 107, 625-638, 
attps://dol.org/10.1016/]. 
°se.2006.10.017, 2007. 
Volpe, G., Buongiorno Nardelli, 
B., Colella, S., Pisano, A., and 
Santoleri, R.: An Operational 
'nterpolated Ocean Colour Prod 
Jct in the Mediterranean Sea, 
ın: New Frontiers in Operational 
Oceanography, edited by: 
Chassignet, E. P, Pascual, A,, 
Tintore, J., and Verron, J., GODAE 
JceanView, 227-244, 2018. 
Volpe, G., Colella, S., Brando, 
V. E., Forneris, V., Padula, F. L.. 
Cicco, A. D., ... & Santoleri, R. 
(2019). Mediterranean ocear 
zolour Level 3 operational 
multi-sensor processing. Ocean 
Science, 15(1), 127-146 
Xi H., Losa S. N., Mangin A., 
Soppa M. A., Garnesson P., 
Demaria J., Liu Y., Hembise 
Fanton d’Andon O., Bracher 
A. (2020) Global retrieval 
of phytoplankton functional 
types based on empirical 
orthogonal functions using 
CMEMS GlobColour merged 
products and further extensior 
to OLCI data. Remote Sensing 
of Environment, 240, 111704, 
https://doi.org/10.1016/j. 
rse.2020.111704 
Xi H., Losa S. N., Mangin A., 
Garnesson P.,, Bretagnon 
M., Demaria J., Soppa A.M., 
Hembise Fanton d’Andon A., 
Bracher A., Global Chlorophyll = 
concentrations of phytoplanktor 
functional types with detailed 
uncertainty assessment using 
multi-sensor ocean color 
and sea surface temperature 
satellite products, Journal of 
Geophysical Research - Oceans 
2021, https://doi.org/10.10027/ 
essoar.10505775.1
	        
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