Regional Vicarious Gain Adjustment for Coastal VIIRS Products

Abstract

As part of the Joint Polar Satellite System (JPSS) Ocean Cal/Val Team, Naval Research Lab - Stennis Space Center (NRL-SSC) has been working lo facilitate calibration and validation of the Visible Infrared Imaging Radiometer Suite (VIIRS) ocean color products By relaxing the constraints of the NASA Ocean Biology Processing Group (OBPG) methodology for vicarious calibration of ocean color satellites and utilizing the Aerosol Robotic Network Ocean Color (AERONET-OC) system to provide in situ data, we investigated differences between remotely sensed water leaving radiance and the expected m situ response in coastal areas and compare the results to traditional Marine Optical Buoy (MOBY) calibration/validation activities. An evaluation of the Suomi National Polar-Orbiting Partnership (SNPP)-VIIRS ocean color products was performed in coastal waters using the time series data obtained from the Northern Gulf of Mexico AERONET-OC site, WaveCIS. The coastal site provides different water types with varying complexity of CDOM, sedimentary, and chlorophyll components Time series data .sets were used to develop a vicarious gain adjustment (VGA) at this site, which provides a regional top of the atmospheric (TOA) spectral offset to compare the standard MOBY spectral calibration gain in open ocean waters.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2014
Accession Number
ADA611946

Entities

People

  • Adam Lawson
  • Giulietta S. Fargion
  • Jennifer Bowers
  • Paul M. Martinolich
  • Robert A. Arnone
  • Ryan Vandermeulen
  • Sherwin D. Ladner

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Satellites
  • Calibration
  • Chlorophylls
  • Data Processing
  • Data Sets
  • Detectors
  • Image Processing
  • Measurement
  • Military Research
  • Radiance
  • Remote Sensing
  • Satellite Imaging
  • Standards
  • Test And Evaluation
  • Thickness
  • Validation

Fields of Study

  • Environmental science

Readers

  • Atmospheric Remote Sensing.
  • Coastal Oceanography

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • Autonomy
  • Space