Paper
25 May 2018 Near real time calibration of the Ocean Land Colour Imager
Jennifer Bowers, Paul Martinolich, Richard Crout, Sherwin Ladner, Adam Lawson
Author Affiliations +
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.
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jennifer Bowers, Paul Martinolich, Richard Crout, Sherwin Ladner, and Adam Lawson "Near real time calibration of the Ocean Land Colour Imager", Proc. SPIE 10631, Ocean Sensing and Monitoring X, 1063105 (25 May 2018); https://doi.org/10.1117/12.2309996
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Calibration

Satellites

Data processing

Sensors

Error analysis

Imaging systems

Sensor calibration

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