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Title

The Ocean Colour Climate Change Initiative: I. A methodology for assessing atmospheric correction processors based on in-situ measurements

Publication Year

2015

Author(s)
  • Mueller, Dagmar
  • Krasemann, Hajo
  • Brewin, Robert J. W.
  • Brockmann, Carsten
  • Deschamps, Pierre-Yves
  • Doerffer, Roland
  • Fomferra, Norman
  • Franz, Bryan A.
  • Grant, Mike G.
  • Groom, Steve B.
  • Melin, Frederic
  • Platt, Trevor
  • Regner, Peter
  • Sathyendranath, Shubha
  • Steinmetz, Francois
  • Swinton, John
Source
REMOTE SENSING OF ENVIRONMENT Volume: 162 Pages: 242-256 Published: 2015
ISSN
0034-4257 eISSN: 1879-0704
Abstract

The Ocean Colour Climate Change Initiative intends to provide a long-term time series of ocean colour data and investigate the detectable climate impact. A reliable and stable atmospheric correction procedure is the basis for ocean colour products of the necessary high quality. In order to guarantee an objective selection from a set of four atmospheric correction processors, the common validation strategy of comparisons between in-situ and satellite-derived water leaving reflectance spectra, is extended by a ranking system. In principle, the statistical parameters such as root mean square error, bias, etc. and measures of goodness of fit, are transformed into relative scores, which evaluate the relationship of quality dependent on the algorithms under study. The sensitivity of these scores to the selected database has been assessed by a bootstrapping exercise, which allows identification of the uncertainty in the scoring results. Although the presented methodology is intended to be used in an algorithm selection process, this paper focusses on the scope of the methodology rather than the properties of the individual processors. (C) 2015 Elsevier Inc. All rights reserved.

Author Keyword(s)
  • OC-CCI
  • CCI
  • Ocean-colour
  • Climate change
  • Atmospheric correction
  • Algorithm comparison
  • In-situ comparison
  • Spectral comparison
  • Boot strap
KeyWord(s) Plus
  • SPECTRAL OPTIMIZATION
  • MULTIPLE-SCATTERING
  • AEROSOL ABSORPTION
  • AERONET-OC
  • VALIDATION
  • ALGORITHM
  • MERIS
  • IMAGERY
  • SEA
  • RETRIEVAL
ESI Discipline(s)
  • Computer Science
  • Engineering
  • Environment/Ecology
  • Geosciences
  • Physics
Web of Science Category(ies)
  • Environmental Sciences
  • Remote Sensing
  • Imaging Science & Photographic Technology
Adress(es)

[Mueller, Dagmar; Krasemann, Hajo; Doerffer, Roland] Helmholtz Zentrum Geesthacht, Geesthacht, Germany; [Brewin, Robert J. W.; Grant, Mike G.; Groom, Steve B.; Platt, Trevor; Sathyendranath, Shubha] Plymouth Marine Lab, Plymouth, Devon, England; [Deschamps, Pierre-Yves; Steinmetz, Francois] HYGEOS, Lille, France; [Regner, Peter] European Space Agcy, Frascati, Italy

Reprint Adress

Muller, D (reprint author), Helmholtz Zentrum Geesthacht, Geesthacht, Germany.

Country(ies)
  • France
  • Germany
  • Italy
  • United Kingdom
CNRS - Adress(es)
    Accession Number
    WOS:000355052000019
    uid:/ZR5R2CLF
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