Multivariate principal component analysis of SST-pigments 2D vector field from a time series of satellite images of the Alboran Sea

Author

Corsini, G. ; Diani, M. ; Grasso, R.

Author_Institution

Dipt. di Ingegneria della Informazione, Pisa Univ., Italy

Volume

6

fYear

2002

fDate

2002

Firstpage

3378

Abstract

Multivariate Principal Component Analysis (MPCA) is used to decompose a series of AVHRR SST maps and SeaWiFS phytoplankton pigment concentration maps relative to the Alboran Sea area (Western Mediterranean Sea) acquired during the period from November 1997 to October 1998. The results of MPCA decomposition are presented and discussed.

Keywords

geophysical signal processing; neural nets; oceanographic regions; oceanographic techniques; principal component analysis; remote sensing; 2D vector field; AD 1997; AD 1998; AVHRR; Alboran Sea; IR; Mediterranean Sea; SST; decomposition; infrared; marine biology; multivariate analysis; multivariate principal component analysis; ocean; phytoplankton; pigment; satellite image; sea surface temperature; time series; two dimensional field; visible; Biomedical optical imaging; Eigenvalues and eigenfunctions; Ocean temperature; Optical devices; Parameter estimation; Pigmentation; Principal component analysis; Satellites; Scattering; Symmetric matrices;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE International

Print_ISBN

0-7803-7536-X

Type

conf

DOI

10.1109/IGARSS.2002.1027188

Filename

1027188