A coupled oceanic and atmospheric spectral optimization algorithm for application to ocean color satellites sensitivitv to near infrared error

Christopher P. Kuchinke, Howard R. Gordon, Kenneth J. Voss

Research output: Contribution to journalConference article

Abstract

A spectral optimization algorithm (SOA) has been developed for processing satellite data in marine waters. The algorithm couples an atmospheric aerosol model with a detailed water-reflectance model to simultaneously retrieve both atmospheric and ocean color parameters. A key feature separating SOA from standard algorithms is the retrieval of the absorption coefficient of colored detrital material, particulate backscattering and chlorophyll concentration in absorbing atmospheres. The same parameters can also be retrieved in Case 2 waters where higher particulate backscattering contributes to the nearinfrared (NIR) water-leaving reflectance. Results of chlorophyll concentration are presented in this study using SeaWiFS data obtained for the Chesapeake Bay and Middle Atlantic Bight. Manipulations to the MR measurements of a degree similar to the magnitude of sensor noise and calibration uncertainty show that the chlorophyll retrievals are highly sensitive to the error in the measured NIR total reflectance.

Original languageEnglish (US)
Article number38
Pages (from-to)92-103
Number of pages12
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume5656
DOIs
StatePublished - Jun 20 2005
EventActive and Passive Remote Sensing of the Oceans - Honolulu, HI, United States
Duration: Nov 8 2004Nov 9 2004

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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