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 () 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 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 at 555 nm to 0.52 at 412 nm while RMSE between AeroNET and GDPS data ranges from 0.47 at 443 nm to 0.69 at 490 nm.

Highlights

  • The Geostationary Ocean Color Imager (GOCI) is one of the three payloads of the KoreanCommunication, Ocean and Meteorological Satellite (COMS), which was successfully launched in June2010 from the Space Center in Kourou, French Guiana on an Ariane 5 Launch Vehicle [1,2]

  • Other methods are available within Automated Processing System (APS), the current study uses the aerosol model selection process developed by Gordon and Wang [27]

  • Our analysis indicates that even though the box is nearly cloud free, APS retrieves 2%–6% more valid pixels than the GOCI Data Processing System (GDPS) (See Table 3) due to more failures during processed nLw ; and (c) true color image created using GDPS

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Summary

Introduction

The Geostationary Ocean Color Imager (GOCI) is one of the three payloads of the KoreanCommunication, Ocean and Meteorological Satellite (COMS), which was successfully launched in June2010 from the Space Center in Kourou, French Guiana on an Ariane 5 Launch Vehicle [1,2]. The Geostationary Ocean Color Imager (GOCI) is one of the three payloads of the Korean. GOCI is the world’s first geostationary ocean color sensor designed with visible and near-infrared (NIR) bands that can measure radiance from the ocean surface. GOCI covers a 2500 × 2500 km square around the Korean Peninsula centered at 36°N and 130°E with an approximate. 500 m pixel size, and it is comprised of sixteen (4 × 4) slot images [1,2]. It has high signal-to-noise ratio (over one thousand) which is necessary for detection of low and rapidly varying reflectance signals. GOCI has six visible bands centered at 412 nm, 443 nm, 490 nm, 555 nm, 660 nm and 680 nm, and two NIR bands with bands centered at 745 nm and 865 nm for atmospheric correction

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