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 (nLw)...

Full description

Bibliographic Details
Published in:Sensors
Main Authors: Amin, Ruhul, Lewis, Mark David, Lawson, Adam, Gould, Richard W., Martinolich, Paul, Li, Rong-Rong, Ladner, Sherwin, Gallegos, Sonia
Format: Text
Language:English
Published: MDPI 2015
Subjects:
Online Access:http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4634472/
http://www.ncbi.nlm.nih.gov/pubmed/26473861
https://doi.org/10.3390/s151025703
id ftpubmed:oai:pubmedcentral.nih.gov:4634472
record_format openpolar
spelling ftpubmed:oai:pubmedcentral.nih.gov:4634472 2023-05-15T13:06:15+02:00 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 2015-10-12 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4634472/ http://www.ncbi.nlm.nih.gov/pubmed/26473861 https://doi.org/10.3390/s151025703 en eng MDPI http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4634472/ http://www.ncbi.nlm.nih.gov/pubmed/26473861 http://dx.doi.org/10.3390/s151025703 © 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/). CC-BY Article Text 2015 ftpubmed https://doi.org/10.3390/s151025703 2015-11-29T01:24:48Z 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 nLw 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. Text Aerosol Robotic Network PubMed Central (PMC) Sensors 15 10 25703 25715
institution Open Polar
collection PubMed Central (PMC)
op_collection_id ftpubmed
language English
topic Article
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
topic_facet Article
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 (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 nLw 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.
format Text
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
title Comparative Analysis of GOCI Ocean Color Products
title_short 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_sort comparative analysis of goci ocean color products
publisher MDPI
publishDate 2015
url http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4634472/
http://www.ncbi.nlm.nih.gov/pubmed/26473861
https://doi.org/10.3390/s151025703
genre Aerosol Robotic Network
genre_facet Aerosol Robotic Network
op_relation http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4634472/
http://www.ncbi.nlm.nih.gov/pubmed/26473861
http://dx.doi.org/10.3390/s151025703
op_rights © 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/).
op_rightsnorm CC-BY
op_doi https://doi.org/10.3390/s151025703
container_title Sensors
container_volume 15
container_issue 10
container_start_page 25703
op_container_end_page 25715
_version_ 1765997986319433728