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

Blondeau-Patissier, David, Gower, James F. R., Dekker, Arnold G., Phinn, Stuart R. and Brando, Vittprop 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, 123 123-144. doi:10.1016/j.pocean.2013.12.008

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Author Blondeau-Patissier, David
Gower, James F. R.
Dekker, Arnold G.
Phinn, Stuart R.
Brando, Vittprop E.
Title 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
Journal name Progress in Oceanography   Check publisher's open access policy
ISSN 0079-6611
1873-4472
Publication date 2014-04-01
Year available 2014
Sub-type Critical review of research, literature review, critical commentary
DOI 10.1016/j.pocean.2013.12.008
Open Access Status DOI
Volume 123
Start page 123
End page 144
Total pages 22
Place of publication Kidlington, Oxford, UK
Publisher Pergamon
Language eng
Subject 1104 Complementary and Alternative Medicine
1907 Geology
Abstract 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 waters and refining detection limits in various oceanic and coastal environments. To understand the spatio-temporal patterns of algal blooms and their triggering factors, it is essential to consider the possible effects of environmental parameters, such as water temperature, turbidity, solar radiation and bathymetry. Hence, this review will also discuss the use of statistical techniques and additional datasets derived from ecosystem models or other satellite sensors to characterize further the factors triggering or limiting the development of algal blooms in coastal and open ocean waters.
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Critical review of research, literature review, critical commentary
Collections: School of Geography, Planning and Environmental Management Publications
Official 2015 Collection
 
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