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Comparative Analysis of GOCI Ocean Color Products

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 ([For...

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Autores principales: Amin, Ruhul, Lewis, Mark David, Lawson, Adam, Gould, Richard W., Martinolich, Paul, Li, Rong-Rong, Ladner, Sherwin, Gallegos, Sonia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4634472/
https://www.ncbi.nlm.nih.gov/pubmed/26473861
http://dx.doi.org/10.3390/s151025703
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author Amin, Ruhul
Lewis, Mark David
Lawson, Adam
Gould, Richard W.
Martinolich, Paul
Li, Rong-Rong
Ladner, Sherwin
Gallegos, Sonia
author_facet Amin, Ruhul
Lewis, Mark David
Lawson, Adam
Gould, Richard W.
Martinolich, Paul
Li, Rong-Rong
Ladner, Sherwin
Gallegos, Sonia
author_sort Amin, Ruhul
collection PubMed
description 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 ([Formula: see text]) 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 [Formula: see text] 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 [Formula: see text] correlates well within the same image slot where the coefficient of determination (r(2)) 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 [Formula: see text] at 555 nm to 0.52 [Formula: see text] at 412 nm while RMSE between AeroNET and GDPS data ranges from 0.47 [Formula: see text] at 443 nm to 0.69 [Formula: see text] at 490 nm.
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spelling pubmed-46344722015-11-23 Comparative Analysis of GOCI Ocean Color Products Amin, Ruhul Lewis, Mark David Lawson, Adam Gould, Richard W. Martinolich, Paul Li, Rong-Rong Ladner, Sherwin Gallegos, Sonia Sensors (Basel) Article 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 ([Formula: see text]) 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 [Formula: see text] 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 [Formula: see text] correlates well within the same image slot where the coefficient of determination (r(2)) 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 [Formula: see text] at 555 nm to 0.52 [Formula: see text] at 412 nm while RMSE between AeroNET and GDPS data ranges from 0.47 [Formula: see text] at 443 nm to 0.69 [Formula: see text] at 490 nm. MDPI 2015-10-12 /pmc/articles/PMC4634472/ /pubmed/26473861 http://dx.doi.org/10.3390/s151025703 Text en © 2015 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Amin, Ruhul
Lewis, Mark David
Lawson, Adam
Gould, Richard W.
Martinolich, Paul
Li, Rong-Rong
Ladner, Sherwin
Gallegos, Sonia
Comparative Analysis of GOCI Ocean Color Products
title Comparative Analysis of GOCI Ocean Color Products
title_full Comparative Analysis of GOCI Ocean Color Products
title_fullStr Comparative Analysis of GOCI Ocean Color Products
title_full_unstemmed Comparative Analysis of GOCI Ocean Color Products
title_short Comparative Analysis of GOCI Ocean Color Products
title_sort comparative analysis of goci ocean color products
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4634472/
https://www.ncbi.nlm.nih.gov/pubmed/26473861
http://dx.doi.org/10.3390/s151025703
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