Automated Validation of Satellite Derived Coastal Optical Products

Automated validation methods and a suite of tools have been developed in a Quality Control Center to analyze the stability and uncertainty of satellite ocean products. The automatic procedures analyze match-ups of near real time coastal bio-optical observations from Martha's Vineyard Coastal Ob...

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Bibliographic Details
Main Authors: Lyon, Paul, Arnone, Robert, Gould, Richard, Lee, Zhongping, Martinolich, Paul, Ladner, Sherwin, Casey, Brandon, Sosik, H., Vandemark, D., Feng, H., Morrison, R.
Other Authors: NAVAL RESEARCH LAB STENNIS SPACE CENTER MS OCEANOGRAPHY DIV
Format: Text
Language:English
Published: 2007
Subjects:
Online Access:http://www.dtic.mil/docs/citations/ADA476532
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA476532
Description
Summary:Automated validation methods and a suite of tools have been developed in a Quality Control Center to analyze the stability and uncertainty of satellite ocean products. The automatic procedures analyze match-ups of near real time coastal bio-optical observations from Martha's Vineyard Coastal Observatory (MVCO) with satellite-derived ocean color products from MODIS Aqua and Terra, SeaWIFS, Ocean Color Monitor, and MERIS. These tools will be used to compare MVCO in situ data sets (absorption, backscattering, and attenuation coefficients), co-located SeaPRISM-derived water leaving radiances, and the Aerosol Robotic Network (AeroNet) derived aerosol properties with daily satellite bio-optical products and atmospheric correction parameters (aerosol model types, epsilon, angstrom coefficient), to track the long tents stability of the bio-optical products and aerosol patterns. The automated procedures will be used to compare the in situ and satellite-derived values, assess seasonal trends, estimate uncertainty of coastal products, and determine the influence and uncertainty of the atmospheric correction procedures. Additionally we will examine the increased resolution of 250m, 500m, and 1 km satellite data from multiple satellite borne scissors 50 examine the spatial variability and bow this variability affects assessing the product uncertainty of coastal match-ups of both bio-optical algorithms and atmospheric correction methods. This report describes the status of the QCC tool development and potential applications of the QCC tool suite. Presented at Coastal Ocean Remote Sensing held in San Diego, CA on 26-27 August 2007. Published in Proceedings of SPIE, v6680, paper 66800E, 2007.