Article (Scientific journals)
Reconstruction of MODIS total suspended matter time series maps by DINEOF and validation with autonomous platform data
Nechad, Bouchra; Alvera Azcarate, Aïda; Ruddick, Kevin et al.
2011In Ocean Dynamics
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Keywords :
DINEOF; Total Suspended Matter; Missing data reconstruction
Abstract :
[en] In situ measurements of total suspended matter (TSM) over the period 2003–2006, collected with two autonomous platforms from the Centre for Environment, Fisheries and Aquatic Sciences (Cefas) measuring the optical backscatter (OBS) in the southern North Sea, are used to assess the accuracy of TSM time series extracted from satellite data. Since there are gaps in the remote sensing (RS) data, due mainly to cloud cover, the Data Interpolating Empirical Orthogonal Functions (DINEOF) is used to fill in the TSM time series and build a continuous daily “recoloured” dataset. The RS datasets consist of TSM maps derived from MODIS imagery using the bio-optical model of Nechad et al. (Rem Sens Environ 114: 854–866, 2010). In this study, the DINEOF time series are compared to the in situ OBS measured in moderately to very turbid waters respectively in West Gabbard and Warp Anchorage, in the southern North Sea. The discrepancies between instantaneous RS, DINEOF-filled RS data and Cefas data are analysed in terms of TSM algorithm uncertainties, space–time variability and DINEOF reconstruction uncertainty.
Research center :
MARE - Centre Interfacultaire de Recherches en Océanologie - ULiège
Geohydrodynamics and Environment Research - GHER
Disciplines :
Earth sciences & physical geography
Author, co-author :
Nechad, Bouchra
Alvera Azcarate, Aïda  ;  Université de Liège - ULiège > Département d'astrophys., géophysique et océanographie (AGO) > GeoHydrodynamics and Environment Research (GHER)
Ruddick, Kevin
Greenwood, Naomi
Language :
English
Title :
Reconstruction of MODIS total suspended matter time series maps by DINEOF and validation with autonomous platform data
Publication date :
2011
Journal title :
Ocean Dynamics
ISSN :
1616-7341
eISSN :
1616-7228
Publisher :
Springer Science & Business Media B.V., Heidelberg, Germany
Special issue title :
Multiparametric observation and analysis of the Sea
Peer reviewed :
Peer Reviewed verified by ORBi
Funders :
F.R.S.-FNRS - Fonds de la Recherche Scientifique [BE]
BELSPO - SPP Politique scientifique - Service Public Fédéral de Programmation Politique scientifique
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