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Ocean Science An interactive open-access journal of the European Geosciences Union
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Volume 12, issue 6
Ocean Sci., 12, 1279–1288, 2016
https://doi.org/10.5194/os-12-1279-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Ocean Sci., 12, 1279–1288, 2016
https://doi.org/10.5194/os-12-1279-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Technical note 22 Dec 2016

Technical note | 22 Dec 2016

Technical note: Algal Pigment Index 2 in the Atlantic off the southwest Iberian Peninsula: standard and regional algorithms

Priscila Goela et al.

Related subject area

Approach: Remote Sensing | Phenomena: Biological Processes | Depth Range: Surface | Geographical Range: Deep Seas: North Atlantic
Using empirical orthogonal functions derived from remote-sensing reflectance for the prediction of phytoplankton pigment concentrations
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
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Cited articles

Bishop, C. M.: Novelty detection and neural network validation, IEE P-Vis Image Sign., 141, 217–222, https://doi.org/10.1049/ip-vis:19941330, 1994.
Bricaud, A., Bosc, E., and Antoine, D.: Algal biomass and sea surface temperature in the Mediterranean basin, Intercomparison of data from various satellite sensors, and implications for primary production estimates, Remote Sens. Environ., 81, 163–178, 2002.
Cristina, S., Moore, G., Goela, P. C., Icely, J., and Newton, A.: In situ validation of MERIS marine reflectance off the southwest Iberian Peninsula: assessment of vicarious adjustment and corrections for near-land adjacency, Int. J. Remote Sens., 35, 2347–2377, https://doi.org/10.1080/01431161.2014.894657, 2014.
Cristina, S., Icely, J., Goela, P., DelValls, T., and Newton, A.: Using remote sensing as a support to the implementation of the European Marine Strategy Framework Directive in SW Portugal, Cont. Shelf Res., 108, 169–177, https://doi.org/10.1016/j.csr.2015.03.011, 2015.
Cristina, S., Cordeiro, C., Lavender, S., Goela, P. G., Icely, J., Moore, G., and Newton, A.: Seasonal-Trend decomposition time series based on Loess applied to MERIS products from the SW Iberian Peninsula: Sagres, Remote Sens., 8, 16 pp., https://doi.org/10.3390/rs8060449, 2016a.
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In this study, the MERIS (ocean colour sensor from European Space Agency) algorithm for the quantification of chlorophyll a in coastal waters – API2 – is investigated in an area located in the Atlantic off the southwestern Iberian Peninsula. The study demonstrates the importance of regional algorithms for the study area that could complement upcoming standard results of the present Sentinel-3/OLCI space mission.
In this study, the MERIS (ocean colour sensor from European Space Agency) algorithm for the...
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