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Virtual Journal for Biomedical Optics


  • Editor: Gregory W. Faris
  • Vol. 4, Iss. 2 — Feb. 10, 2009

Data-thinning algorithms for “over-sampled” multi-parameter ocean optics data

Jeffrey H. Smart and Kevin T. Barrett  »View Author Affiliations

Optics Express, Vol. 16, Issue 26, pp. 21423-21433 (2008)

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The deployment of towed depth-profiling paravane systems and autonomous gliders is providing a wealth of high-resolution oceanographic datasets. These datasets are, however, over-sampled in space and time. This paper describes a data-adaptive, user-configurable method that has been used to significantly reduce the time/space density of such data without compromising the inherent scientific information that they provide. The method involves sub-sampling at fixed space and time intervals with additional samples being kept given either a significant change (1) in the depth extent of the alongtrack profiles, or (2) in the values of the profiles themselves. An example is provided showing how well the algorithm works on nearly 5,000 chlorophyll fluorescence profiles collected off the coast of Australia.

© 2008 Optical Society of America

OCIS Codes
(010.0010) Atmospheric and oceanic optics : Atmospheric and oceanic optics
(010.4450) Atmospheric and oceanic optics : Oceanic optics

ToC Category:
Atmospheric and oceanic optics

Original Manuscript: October 3, 2008
Revised Manuscript: November 25, 2008
Manuscript Accepted: December 1, 2008
Published: December 12, 2008

Virtual Issues
Vol. 4, Iss. 2 Virtual Journal for Biomedical Optics

Jeffrey H. Smart and Kevin T. Barrett, "Data-thinning algorithms for “over-sampled” multi-parameter ocean optics data," Opt. Express 16, 21423-21433 (2008)

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