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Sensors 2015, 15(10), 25703-25715; doi:10.3390/s151025703

Comparative Analysis of GOCI Ocean Color Products

1
BioOptoSense LLC, New Orleans, LA 70115, USA
2
Naval Research Laboratory, Code 7331, Stennis Space Center, MS 39529, USA
3
Vencore, Inc., Stennis Space Center, MS 39529, USA
4
Naval Research Laboratory, Code 7231, Building 2, Washington, DC 20375, USA
*
Author to whom correspondence should be addressed.
Academic Editor: Assefa M. Melesse
Received: 17 July 2015 / Revised: 17 September 2015 / Accepted: 28 September 2015 / Published: 12 October 2015
(This article belongs to the Section Remote Sensors)
View Full-Text   |   Download PDF [2021 KB, uploaded 12 October 2015]   |  

Abstract

The Geostationary Ocean Color Imager (GOCI) is the first geostationary ocean color sensor in orbit that provides bio-optical properties from coastal and open waters around the Korean Peninsula at unprecedented temporal resolution. In this study, we compare the normalized water-leaving radiance (nLw) products generated by the Naval Research Laboratory Automated Processing System (APS) with those produced by the stand-alone software package, the GOCI Data Processing System (GDPS), developed by the Korean Ocean Research & Development Institute (KORDI). Both results are then compared to the nLw measured by the above water radiometer at the Ieodo site. This above-water radiometer is part of the Aerosol Robotic NETwork (AeroNET). The results indicate that the APS and GDPS processed correlates well within the same image slot where the coefficient of determination (r2) is higher than 0.84 for all the bands from 412 nm to 745 nm. The agreement between APS and the AeroNET data is higher when compared to the GDPS results. The Root-Mean-Squared-Error (RMSE) between AeroNET and APS data ranges from 0.24 [mW/(cm2srμm)] at 555 nm to 0.52 [mW/(cm2srμm)] at 412 nm while RMSE between AeroNET and GDPS data ranges from 0.47 [mW/(cm2srμm)] at 443 nm to 0.69 [mW/(cm2srμm)] at 490 nm. View Full-Text
Keywords: geostationary satellite; ocean color remote sensing; bio-optical products; APS; GDPS geostationary satellite; ocean color remote sensing; bio-optical products; APS; GDPS
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Amin, R.; Lewis, M.D.; Lawson, A.; Gould Jr., R.W.; Martinolich, P.; Li, R.-R.; Ladner, S.; Gallegos, S. Comparative Analysis of GOCI Ocean Color Products. Sensors 2015, 15, 25703-25715.

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