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Proceedings Paper

An initial approach for using chromaticity to develop hyperspectral signals for satellite multispectral ocean-color imagery
Author(s): Sean McCarthy; Jason Jolliff; Sherwin Ladner; Mark David Lewis
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Paper Abstract

Herein we present an initial approach for assessing water color, specifically chromaticity, and determining if an accurate correlation can be made within chromaticity space between the water color and a hyperspectral synthetic data set. The water color assessed in this paper consist of remote sensing reflectance (Rrs) distributions from the Suomi-National Polarorbiting Partnership (SNPP) Visible Infrared Imaging Radiometer Suite (VIIRS), and the hyperspectral synthetic data set consists of Rrs distributions of natural marine waters. Where strong correlations exist, the hyperspectral Rrs reference data can be blended into the SNPP VIIRS Rrs data, thus creating a hyperspectral SNPP VIIRS spectra. Where applicable, the newly constructed VIIRS hyperspectral signature is compared to in situ data taken during a 2018 National Oceanic and Atmospheric Administration (NOAA) Calibration/Validation cruise. Given the proliferation of small, low-cost airborne platforms equipped with color imaging cameras, there exists tremendous potential to use and hyperspectrally enhance these data streams for ocean monitoring and scientific research. However, techniques for extracting traditional ocean radiant spectra from RGB data fields are new to oceanographic disciplines.

Paper Details

Date Published: 10 May 2019
PDF: 10 pages
Proc. SPIE 11014, Ocean Sensing and Monitoring XI, 110140A (10 May 2019); doi: 10.1117/12.2519311
Show Author Affiliations
Sean McCarthy, U.S. Naval Research Lab. (United States)
Jason Jolliff, U.S. Naval Research Lab. (United States)
Sherwin Ladner, U.S. Naval Research Lab. (United States)
Mark David Lewis, U.S. Naval Research Lab. (United States)


Published in SPIE Proceedings Vol. 11014:
Ocean Sensing and Monitoring XI
Weilin "Will" Hou; Robert A. Arnone, Editor(s)

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