Paper
6 February 1997 Optimal selection of spectral channels for remote sensing of optically active matters in the ocean: application of the experimental design theory
Iosif M. Levin, Igor V. Zolotukhin
Author Affiliations +
Proceedings Volume 2963, Ocean Optics XIII; (1997) https://doi.org/10.1117/12.266447
Event: Ocean Optics XIII, 1996, Halifax, Nova Scotia, Canada
Abstract
The mathematical theory of the experiment optical design is applied for the problem of remote sensing of optically active matters, such as phytoplankton, dissolved organic matte, or suspended particles. An optical design (OD) determines the number of spectral channels, the position in spectrum and the width of spectral 'windows' in each channel, and distribution of measurement time between the channels, with account of shot receiver noises. The optimal designs for shipboard and satellite measurements of chlorophyll concentration for the case of pure atmosphere were computed on the basis of the previously published algorithm. For computing OD, arrays of 1000 random radiation spectra above sea surface and on the upper atmosphere boundary were simulated using improved model of upwelling radiance. These spectra were also used for retrieval of the chlorophyll concentration from shipboard 'measurements' of color indexes and of ocean radiance in five wavelengths recommended in literature on the basis of principal component analysis. The comparison shows that OD provides the highest retrieval accuracy among methods considered. The stability of computed OD was tested by varying the sensor parameters, observation conditions, and water property models.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Iosif M. Levin and Igor V. Zolotukhin "Optimal selection of spectral channels for remote sensing of optically active matters in the ocean: application of the experimental design theory", Proc. SPIE 2963, Ocean Optics XIII, (6 February 1997); https://doi.org/10.1117/12.266447
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Cited by 3 scholarly publications.
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KEYWORDS
Sensors

Ocean optics

Monte Carlo methods

Active optics

Atmospheric modeling

Remote sensing

Water

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