A review of ocean color remote sensing methods and statistical techniques for the detection, mapping and analysis of phytoplankton blooms in coastal and open oceans.

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Date
2014Author
Blondeau-Patissier, David
Gower, James F.R.
Dekker, Arnold G.
Phinn, Stuart R.
Brando, Vittorio E.
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The need for more effective environmental monitoring of the open and coastal ocean has recently led to
notable advances in satellite ocean color technology and algorithm research. Satellite ocean color sensors’
data are widely used for the detection, mapping and monitoring of phytoplankton blooms because earth
observation provides a synoptic view of the ocean, both spatially and temporally. Algal blooms are indicators
of marine ecosystem health; thus, their monitoring is a key component of effective management of
coastal and oceanic resources. Since the late 1970s, a wide variety of operational ocean color satellite sensors
and algorithms have been developed. The comprehensive review presented in this article captures
the details of the progress and discusses the advantages and limitations of the algorithms used with
the multi-spectral ocean color sensors CZCS, SeaWiFS, MODIS and MERIS. Present challenges include
overcoming the severe limitation of these algorithms in coastal .....
Journal
Progress in OceanographyVolume
123Page Range
pp.123-144Document Language
enSustainable Development Goals (SDG)
14.5Essential Ocean Variables (EOV)
Phytoplankton biomass and diversityOcean colour
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Manual (incl. handbook, guide, cookbook etc)DOI Original
https://doi.org/10.1016/j.pocean.2013.12.008Citation
Blondeau-Patissier, D.; Gower, J.F.R.; Dekker, A.G.; Phinn, S.R. and Brando, V.E. (2014) A review of ocean color remote sensing methods and statistical techniques for the detection, mapping and analysis of phytoplankton blooms in coastal and open oceans. Progress in Oceanography, 123, pp.123-144. DOI: https://doi.org/10.1016/j.pocean.2013.12.008.Collections
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