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)...
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| Format: | Article |
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MDPI AG
2015-10-01
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| Series: | Sensors |
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| Online Access: | http://www.mdpi.com/1424-8220/15/10/25703 |
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| author | Ruhul Amin Mark David Lewis Adam Lawson Richard W. Gould Jr. Paul Martinolich Rong-Rong Li Sherwin Ladner Sonia Gallegos |
| author_facet | Ruhul Amin Mark David Lewis Adam Lawson Richard W. Gould Jr. Paul Martinolich Rong-Rong Li Sherwin Ladner Sonia Gallegos |
| author_sort | Ruhul Amin |
| collection | DOAJ |
| 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 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. |
| first_indexed | 2024-04-11T13:25:13Z |
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| id | doaj.art-fea084a93b9d443a918929f42c3baf28 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T13:25:13Z |
| publishDate | 2015-10-01 |
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| series | Sensors |
| spelling | doaj.art-fea084a93b9d443a918929f42c3baf282022-12-22T04:22:05ZengMDPI AGSensors1424-82202015-10-011510257032571510.3390/s151025703s151025703Comparative Analysis of GOCI Ocean Color ProductsRuhul Amin0Mark David Lewis1Adam Lawson2Richard W. Gould Jr.3Paul Martinolich4Rong-Rong Li5Sherwin Ladner6Sonia Gallegos7BioOptoSense LLC, New Orleans, LA 70115, USANaval Research Laboratory, Code 7331, Stennis Space Center, MS 39529, USANaval Research Laboratory, Code 7331, Stennis Space Center, MS 39529, USANaval Research Laboratory, Code 7331, Stennis Space Center, MS 39529, USAVencore, Inc., Stennis Space Center, MS 39529, USANaval Research Laboratory, Code 7231, Building 2, Washington, DC 20375, USANaval Research Laboratory, Code 7331, Stennis Space Center, MS 39529, USANaval Research Laboratory, Code 7331, Stennis Space Center, MS 39529, USAThe 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.http://www.mdpi.com/1424-8220/15/10/25703geostationary satelliteocean color remote sensingbio-optical productsAPSGDPS |
| spellingShingle | Ruhul Amin Mark David Lewis Adam Lawson Richard W. Gould Jr. Paul Martinolich Rong-Rong Li Sherwin Ladner Sonia Gallegos Comparative Analysis of GOCI Ocean Color Products Sensors geostationary satellite ocean color remote sensing bio-optical products APS GDPS |
| 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 | geostationary satellite ocean color remote sensing bio-optical products APS GDPS |
| url | http://www.mdpi.com/1424-8220/15/10/25703 |
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