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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2015
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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. |
format | Online Article Text |
id | pubmed-4634472 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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