Inter-Sensor Comparison of Satellite Ocean Color Products from GOCI and MODIS
NAVAL RESEARCH LAB STENNIS DETACHMENT STENNIS SPACE CENTER MS OCEANOGRAPHY DIV
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The Geostationary Ocean Color Imager GOCI was launched by the Republic of Korea on 27 June 2010 and is the first geostationary ocean color sensor in orbit that provides coastal bio-optical properties such as chlorophyll concentration, absorption and backscattering coefficients at unprecedented high spatial and temporal resolution. GOCI has 8 spectral bands covering 2,500 km x 2,500 km centered 130E, 36N at 500 m spatial resolution. Unlike polar-orbiting satellites which provide only one or two images of the same geographic area per day, GOCI collects images every hour from 9am to 4pm eight images per day. This high temporal resolution can lead to improved understanding of short time scale optical and bio-optical variability in the ocean surface. However, retrieving ocean color products accurately can be challenging particularly in turbid coastal waters due to imperfect atmospheric correction. In this study, we process GOCI data through US Naval Research Labs Automated Processing System APS and the standard GOCI Data Processing System GDPS distributed by the Korea Ocean Satellite Center KOSC, and compare the retrieved ocean color products from the two processing systems. We use corresponding Moderate Resolution Imaging Spectroradiometer MODIS images as the ground truth to assess the performance of the two processing systems. Since these sensors can retrieve Fluorescence Line Height FLH which is less sensitive to atmospheric correction and colored dissolved organic matter CDOM, we also compare the FLH products from these sensors, in addition to other ocean color products. Furthermore, we demonstrate the use of hourly GOCI images to detect and track features such as sediment plumes and algal blooms in the ocean surface.
- Physical and Dynamic Oceanography