Open AccessData-thinning algorithms for “over-sampled” multi-parameter ocean optics data
Author(s) -
Jeffrey H. Smart,
Kevin T. Barrett
Publication year - 2008
Publication title -
optics express
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.16.021423
Subject(s) - computer science , algorithm , sampling (signal processing) , remote sensing , software deployment , profiling (computer programming) , optics , geology , telecommunications , physics , detector , operating system
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.