Using measurements from the Geostationary Ocean Color Imager (GOCI) on the Communication, Ocean, and Meteorological Satellite (COMS), we characterize and quantify some advantages and applications of the satellite geostationary measurements, compared with
Menghua Wang, Wei Shi, Lide Jiang
doaj +4 more sources
Assessment of the Number of Valid Observations and Diurnal Changes in Chl-a for GOCI: Highlights for Geostationary Ocean Color Missions [PDF]
The first geostationary ocean color satellite mission (geostationary ocean color imager, or GOCI) has provided eight hourly observations per day over the western Pacific region since June 2010.
Dan Zhao, Lian Feng
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A Modulation Transfer Function Compensation for the Geostationary Ocean Color Imager (GOCI) Based on the Wiener Filter [PDF]
The modulation transfer function (MTF) is a widely used indicator in assessments of remote-sensing image quality. This MTF method is also used to restore information to a standard value to compensate for image degradation caused by atmospheric or ...
Eunsong Oh +3 more
doaj +5 more sources
Derivation of Red Tide Index and Density Using Geostationary Ocean Color Imager (GOCI) Data [PDF]
Red tide causes significant damage to marine resources such as aquaculture and fisheries in coastal regions. Such red tide events occur globally, across latitudes and ocean ecoregions. Satellite observations can be an effective tool for tracking and investigating red tides and have great potential for informing strategies to minimize their impacts on ...
Min-Sun Lee +2 more
exaly +3 more sources
Application of the Geostationary Ocean Color Imager (GOCI) to estimates of ocean surface currents [PDF]
AbstractThe Geostationary Ocean Color Imager (GOCI) can be utilized efficiently to observe subtle changes in oceanic environments under cloud‐free conditions because it receives ocean color images around the Korean Peninsula hourly, for 8 h a day. Here we investigated the applicability of the GOCI for estimating hourly variations in ocean surface ...
Hyun Yang +2 more
exaly +2 more sources
Land surface reflectance (LSR) is well known as an essential variable to understand land surface properties. The Geostationary Ocean Color Imager (GOCI) be able to observe not only the ocean but also the land with the high temporal and spatial resolution
Kyeong-Sang Lee +6 more
doaj +3 more sources
Comparative Analysis of GOCI Ocean Color Products [PDF]
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.
Ruhul Amin +7 more
doaj +2 more sources
Ocean color products from the Korean Geostationary Ocean Color Imager (GOCI)
The first geostationary ocean color satellite sensor, Geostationary Ocean Color Imager (GOCI), which is onboard South Korean Communication, Ocean, and Meteorological Satellite (COMS), was successfully launched in June of 2010. GOCI has a local area coverage of the western Pacific region centered at around 36°N and 130°E and covers ~2500 × 2500 km(2 ...
Menghua Wang +2 more
exaly +3 more sources
Observing the Ocean Submesoscale with Enhanced-Color GOES-ABI Visible Band Data [PDF]
Ocean color remote sensing has long been utilized as a fundamental research tool in the oceanographic investigations of coupled biological-physical processes. Despite numerous technical advances in the application of space borne ocean-viewing radiometers,
Jason K. Jolliff +3 more
doaj +2 more sources
Uncertainties in the Geostationary Ocean Color Imager (GOCI) Remote Sensing Reflectance for Assessing Diurnal Variability of Biogeochemical Processes [PDF]
Short-term (sub-diurnal) biological and biogeochemical processes cannot be fully captured by the current suite of polar-orbiting satellite ocean color sensors, as their temporal resolution is limited to potentially one clear image per day. Geostationary sensors, such as the Geostationary Ocean Color Imager (GOCI) from the Republic of Korea, allow the ...
Javier A Concha +2 more
exaly +3 more sources

