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dc.contributor.authorSuresh, T.
dc.contributor.authorDesa, E.
dc.contributor.authorMascarenhas, A.A.M.Q.
dc.contributor.authorMatondkar, S.G.P.
dc.contributor.authorNaik, P.
dc.contributor.authorNayak, S.R.
dc.date.accessioned2007-03-07T11:14:02Z
dc.date.available2007-03-07T11:14:02Z
dc.date.issued2006
dc.identifier.citationProceedings of SPIE, vol.6406, 64060B
dc.identifier.urihttp://drs.nio.org/drs/handle/2264/546
dc.description.abstractAn empirical method is presented here to estimates bulk particulate refractive index using the measured inherent and apparent optical properties from the various waters types of the Arabian Sea. The empirical model, where the bulk refractive index is modeled in terms of the backscattering ratio and the hyperbolic slope of the particle size is used. Empirical models are obtained to determine the slope of the particle size and backscattering ratio as a function of the remote sensing reflectance. Algorithms with the IRS-P4 OCM satellite data was used and derived the refractive index image. The values of indexes are found to be lower for the open ocean and relatively higher for the coastal waters. Distinct features are observed even in the in the waters with similar chlorophyll concentrations. This algorithm provides scope for the classification of water types and detection of blooms.
dc.format.extent342701 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherSociety of Photo-Optical Instrumentation Engineers
dc.rightsCopyright 2006 Society of Photo-Optical Instrumentation Engineers. This paper was (will be) published in [Proc. of SPIE Vol. 6406, 64060B] and is made available as an electronic reprint (preprint) with permission of SPIE. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.
dc.subjectrefractive index
dc.subjectparticle size distribution
dc.titleAn empirical method to estimate bulk particulate refractive index for ocean satellite applications
dc.typeJournal Article


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