Assessing Uncertainties in Satellite Ocean Color Bio-Optical Properties

Abstract

Uncertainties in retrievals of bio-optical properties from satellite ocean color imagery are related to a variety of factors, including errors associated with sensor calibration and degradation, atmospheric correction, and the bio-optical inversion algorithms. Here we examine the impact of uncertainties in the top-of-atmosphere (TOA) radiances and coefficients in the quasi-analytical algorithm (QAA) on the satellite estimation of the normalized water-leaving radiances (nLw) and downstream bio-optical properties, such as the absorption and backscattering coefficients and chlorophyll. We use a Moderate Resolution Imaging Spectroradiometer (MODIS) image, free from clouds, covering the Gulf of Mexico, as our data set. We apply ensembles at each pixel in the image to simulate noise on the satellite TOA radiance values (randomly-distributed in the range of + or - 2.0%) at MODIS visible and near-infrared wavelengths. We also use ensembles to analyze sensitivity of coefficients in the QAA algorithm to quantify the impact of uncertainties on absorption and backscattering coefficients.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2012
Accession Number
ADA571878

Entities

People

  • E. Coelho
  • I. Shulman
  • Jr :j. Gould R. W.
  • S. C. Mccarthy

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Sensors
  • Space

DTIC Thesaurus Topics

  • Absorption
  • Abstracts
  • Algorithms
  • Artificial Satellites
  • Backscattering
  • Calibration
  • Chlorophylls
  • Coastal Regions
  • Coefficients
  • Deep Water
  • Detectors
  • Image Processing
  • Military Research
  • Optical Properties
  • Satellite Imaging
  • Standards
  • Statistical Analysis

Fields of Study

  • Environmental science
  • Physics

Readers

  • Atmospheric Remote Sensing.

Technology Areas

  • Space