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

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 be...

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Bibliographic Details
Published in:Progress in oceanography Vol. 123; pp. 123 - 144
Main Authors: Blondeau-Patissier, David, Gower, James F.R., Dekker, Arnold G., Phinn, Stuart R., Brando, Vittorio E.
Format: Journal Article
Language:English
Published: Elsevier Ltd 01.04.2014
Subjects:
algal blooms
algorithms
coastal water
color
data collection
detection limit
environmental factors
environmental health
environmental monitoring
marine ecosystems
moderate resolution imaging spectroradiometer
oceans
refining
remote sensing
satellites
solar radiation
statistical analysis
turbidity
water temperature
PAR
Chl-i
FLH
AVHRR
SeaWiFS
Rrs
RBD
CIA
HNLC
EMD
EOF
HPLC
CDOM
GSM
HAB
SSH
RGB
MODIS
FAI
PCA
TSM
QAA
RCA
MCI
SST
NIR
RI
CZCS
MERIS
KBBI
ISSN:0079-6611, 1873-4472
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Summary: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.
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ISSN:0079-6611
1873-4472
DOI:10.1016/j.pocean.2013.12.008