Automated validation of satellite derived coastal optical products

P. E. Lyon; R. A. Arnone; R. W. Gould; Z. P. Lee; P. M. Martinolich; S. D. Ladner; B. Casey; H. Sosik; D. Vandemark; H. Feng; R. Morrison

doi:10.1117/12.736576

11 October 2007 Automated validation of satellite derived coastal optical products

P. E. Lyon, R. A. Arnone, R. W. Gould, Z. P. Lee, P. M. Martinolich, S. D. Ladner, B. Casey, H. Sosik, D. Vandemark, H. Feng, R. Morrison

Author Affiliations +

Proceedings Volume 6680, Coastal Ocean Remote Sensing; 66800E (2007) https://doi.org/10.1117/12.736576
Event: Optical Engineering + Applications, 2007, San Diego, California, United States

Abstract

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 term 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 sensors to examine the spatial variability and how 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.

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P. E. Lyon, R. A. Arnone, R. W. Gould, Z. P. Lee, P. M. Martinolich, S. D. Ladner, B. Casey, H. Sosik, D. Vandemark, H. Feng, and R. Morrison "Automated validation of satellite derived coastal optical products", Proc. SPIE 6680, Coastal Ocean Remote Sensing, 66800E (11 October 2007); https://doi.org/10.1117/12.736576

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KEYWORDS

Satellites

Aerosols

Atmospheric corrections

Atmospheric optics

Data modeling

Optical properties

Water

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