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Proceedings Paper

Near real time calibration of the Ocean Land Colour Imager
Author(s): Jennifer Bowers; Paul Martinolich; Richard Crout; Sherwin Ladner; Adam Lawson
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Paper Abstract

The success of current ocean color satellite missions relies on the spectral quality, consistency, accuracy and precision of products (water leaving radiances, aerosols and clouds) derived from the satellite sensors. We propose leveraging available in situ data from various autonomous ocean color data collection sites to provide a near real time (NRT) spectral calibration for the Ocean Land Colour Imager (OLCI) by tuning the top of atmosphere (TOA) spectral radiances. Using the Naval Research Laboratory – Stennis Space Center (NRL-SSC) Automated Processing System (APS) software, NRT calibration of OLCI is demonstrated using in situ data from the MOBY and AERONET-OC collection sites. This calibration procedure has been used with other multi-spectral satellites to rapidly improve the data quality of emergent sensors so that they can be used to support marine spectrometric applications, track the satellite sensor stability, and enable continuity and consistency of ocean color products between several satellites.

Paper Details

Date Published: 25 May 2018
PDF: 11 pages
Proc. SPIE 10631, Ocean Sensing and Monitoring X, 1063105 (25 May 2018); doi: 10.1117/12.2309996
Show Author Affiliations
Jennifer Bowers, Vencore, Inc. (United States)
Paul Martinolich, Vencore, Inc. (United States)
Richard Crout, U.S. Naval Research Lab. (United States)
Sherwin Ladner, U.S. Naval Research Lab. (United States)
Adam Lawson, U.S. Naval Research Lab. (United States)

Published in SPIE Proceedings Vol. 10631:
Ocean Sensing and Monitoring X
Weilin "Will" Hou; Robert A. Arnone, Editor(s)

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