Optical Moorings-of-Opportunity for Validation of Ocean Color Satellites

Abstract

Buoy-mooring platforms are advantageous for time-series validation and vicarious calibration of ocean color satellites because of their high temporal resolution and ability to perform under adverse weather conditions. Bio-optical data collected on the Bermuda Testbed Mooring (BTM) were used for comparison with satellite ocean color data in an effort to further standardize sampling and data processing methods for high quality satellite-mooring comparisons. Average percentage differences between satellite-measured and mooring-derived water leaving radiances were about 20% at the blue wavelengths, decreasing to as low as 11% in the blue-green to green wavebands. Based on a series of data processing methods and analyses, recommendations concerning rigor of quality control for collected data, optimal averaging of high frequency data, sensor self-shading wind corrections, and instrumentation placement requirements are given for the design and application of optical moorings for ocean color satellite validation. Although buoy-mooring platforms are considered to be among the very best methods to validate ocean color satellite measurements, matchup discrepancies due to water column variability and atmospheric corrections remain important issues.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2008
Accession Number
ADA519686

Entities

People

  • Grace Chang
  • Songnian Jiang
  • Tommy D. Dickey
  • Victor S. Kuwahara
  • Xiaobing Zheng

Organizations

  • University of California, Santa Barbara

Tags

DTIC Thesaurus Topics

  • Absorption
  • Absorption Coefficients
  • Artificial Satellites
  • Climate Change
  • Data Processing
  • Detectors
  • Instrumentation
  • Measurement
  • Oceanography
  • Oceans
  • Optical Detectors
  • Optical Instruments
  • Optical Properties
  • Optics
  • Quality Control
  • Remote Sensing
  • Validation

Fields of Study

  • Environmental science

Readers

  • Atmospheric Remote Sensing.
  • Oceanography.
  • Regression Analysis.

Technology Areas

  • Space