Articles | Volume 12, issue 3
https://doi.org/10.5194/os-12-703-2016
© Author(s) 2016. This work is distributed under the Creative Commons Attribution 3.0 License.
Review article
| 
25 May 2016
Review article |
| 25 May 2016
Ocean colour opportunities from Meteosat Second and Third Generation geostationary platforms
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Cited articles
Albert, P., Antoniou, Y., Arias, J., Barciela, R., Bonekamp, H., Coppini, G., Figa Saldana, J., Gianni, D., Gorringe, P., Kwiatkowska, E., Lecci, R., and O'Carroll, A.: GMES Marine User Requirements, GMES-PURE Project, deliverable D4.1 (including Database Extract), PURE/DLD/DOC/13/038 v2A, available at: http://gmes-pure.eu/deliverables/public-documents/, last access: 31 March 2014.
Antoine, D. (Ed.): Ocean-Colour Observations from a Geostationary Orbit, report number 12 of the International Ocean Colour Coordinating Group, 2012.
Brockmann C., Stelzer, K., Viel, M., Mangin, A., Tornfeldt-Sorensen, J. V., Stipa, T., Neumann, A., Krawczyk, H., Pi Figueroa, A., Campbell, G., and Bruniquel, J.: Routine Water Quality Services for the Baltic Sea (GMES MarCoast): Conference US/EU-Baltic International Symposium, IEEE/OES, https://doi.org/10.1109/BALTIC.2008.4625541, 2008.
CEOS OCR-VC Terms of Reference, available from http://www.ioccg.org/groups/OCR-VC/OCR_ToR_V3.1.pdf (last acces: 22 May 2016), 2013.
Choi, J.-K., Park, Y.-J., Ahn, J.-H., Lim, H.-S., Eom, J., and Ryu, J.-H.: GOCI, the world's first geostationary ocean color observation satellite, for the monitoring of temporal variability in coastal water turbidity, J. Geophys. Res., 117, C09004, https://doi.org/10.1029/2012JC008046, 2012.
