Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/41532
Title: Improving the remote sensing retrieval of Phytoplankton Functional Types (PFT) using empirical orthogonal functions: A case study in a coastal upwelling region
Authors: Correa-Ramirez, Marco
Morales, Carmen E.
Letelier, Ricardo
Anabalón, Valeria
Hormazabal, Samuel
UNESCO Clasification: 120325 Diseño de sistemas sensores
Keywords: Ocean Color
Community Structure
Mediterranean Sea
Central Chile
Global Ocean
Atlantic
Biomass
Size
Variability
Concepcion
Issue Date: 2018
Journal: Remote Sensing 
Abstract: An approach that improves the spectral-based PHYSAT method for identifying phytoplankton functional types (PFT) in satellite ocean-color imagery is developed and applied to one study case. This new approach, called PHYSTWO, relies on the assumption that the dominant effect of chlorophyll-a (Chl-a) in the normalized water-leaving radiance (nLw) spectrum can be effectively isolated from the signal of accessory pigment biomarkers of different PFT by using Empirical Orthogonal Function (EOF) decomposition. PHYSTWO operates in the dimensionless plane composed by the first two EOF modes generated through the decomposition of a space-nLw matrix at seven wavelengths (412, 443, 469, 488, 531, 547, and 555 nm). PFT determination is performed using orthogonal models derived from the acceptable ranges of anomalies proposed by PHYSAT but adjusted with the available regional and global data. In applying PHYSTWO to study phytoplankton community structures in the coastal upwelling system offcentral Chile, we find that this method increases the accuracy of PFT identification, extends the application of this tool to waters with high Chl-a concentration, and significantly decreases (~60%) the undetermined retrievals when compared with PHYSAT. The improved accuracy of PHYSTWO and its applicability for the identification of new PFT are discussed.
URI: http://hdl.handle.net/10553/41532
ISSN: 2072-4292
DOI: 10.3390/rs10040498
Source: Remote Sensing [ISSN 2072-4292], v. 10, article number 498
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