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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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 .....
JournalProgress in Oceanography
Sustainable Development Goals (SDG)14.5
Essential Ocean Variables (EOV)Phytoplankton biomass and diversity
Best Practice TypeManual (incl. handbook, guide, cookbook etc)
CitationBlondeau-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.
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