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Deriving inherent optical properties from water color: a multiband quasi-analytical algorithm for optically deep

ZhongPing Lee1, Kendall L Carder, Robert A Arnone

  • 1College of Marine Science, University of South Florida, St. Petersburg 33701, USA. zplee@nrlssc.navy.mil

Applied Optics
|September 25, 2002
PubMed
Summary

A new multiband quasi-analytical algorithm accurately retrieves ocean optical properties, including phytoplankton and gelbstoff absorption, from satellite data. This method is simple, versatile, and shows promising results for oceanic observations.

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Area of Science:

  • Ocean optics
  • Remote sensing
  • Biogeochemistry

Background:

  • Accurate retrieval of inherent optical properties (IOPs) is crucial for understanding ocean processes.
  • Existing algorithms often rely on spectral models or empirical relationships, limiting their applicability.

Purpose of the Study:

  • To develop a robust multiband quasi-analytical algorithm (QAA) for retrieving IOPs in open ocean and coastal waters.
  • To enable accurate estimation of absorption coefficients (phytoplankton pigments, gelbstoff) and backscattering coefficients.

Main Methods:

  • Utilizes remote-sensing reflectance (Rrs) models derived from the radiative transfer equation.
  • Analytically calculates total absorption and backscattering coefficients from Rrs.
  • Spectrally decomposes pigment and gelbstoff absorption coefficients from total absorption.

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Main Results:

  • The algorithm successfully retrieves absorption and backscattering coefficients from simulated and non-Case 1 field data.
  • Demonstrates promising performance with a simplified approach, avoiding complex spectral models for pigment and gelbstoff absorption.
  • The method is computationally efficient and applicable to various satellite and hyperspectral sensors.

Conclusions:

  • The developed QAA is a simple, implementable, and versatile tool for oceanic optical property retrieval.
  • Its applicability to diverse datasets suggests broad potential for oceanic observation and research.
  • Further validation with independent field data is recommended to refine the algorithm.