Uncertainties in the Geostationary Ocean Color Imager (GOCI) Remote Sensing Reflectance for Assessing Diurnal Variability of Biogeochemical Processes [PDF]
Remote Sensing, 2019 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.
Javier Concha +3 more
doaj +4 more sources
Derivation of Red Tide Index and Density Using Geostationary Ocean Color Imager (GOCI) Data [PDF]
Remote Sensing, 2021 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
openaire +4 more sources
Application of the Geostationary Ocean Color Imager (GOCI) to estimates of ocean surface currents [PDF]
Journal of Geophysical Research: Oceans, 2014 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 +4 more
openaire +3 more sources
Ocean color products from the Korean Geostationary Ocean Color Imager (GOCI)
Optics Express, 2013 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 +6 more
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A Modulation Transfer Function Compensation for the Geostationary Ocean Color Imager (GOCI) Based on the Wiener Filter [PDF]
Journal of Astronomy and Space Sciences, 2013 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 +3 more sources
Remote Sensing, 2020 Sea surface salinity (SSS) is an important tracer for monitoring the Changjiang Diluted Water (CDW) extension into Korean coastal regions; however, observing the SSS distribution in near real time is a difficult task.
Dae-Won Kim +3 more
doaj +3 more sources
Fluorescence Line Height Extraction Algorithm for the Geostationary Ocean Color Imager
Remote Sensing, 2022 Chlorophyll fluorescence is an important indicator of the physiological state of phytoplankton in water bodies. The new generation of ocean color satellite remote sensors usually sets fluorescence bands to detect the phytoplankton fluorescence line ...
Min Zhao +5 more
doaj +3 more sources
An overview of approaches and challenges for retrieving marine inherent optical properties from ocean color remote sensing. [PDF]
Prog Oceanogr, 2018 Ocean color measured from satellites provides daily global, synoptic views of spectral water-leaving reflectances that can be used to generate estimates of marine inherent optical properties (IOPs).
Werdell PJ +14 more
europepmc +5 more sources
Suspended Particle Size Retrieval Based on Geostationary Ocean Color Imager (GOCI) in the Bohai Sea [PDF]
Journal of Coastal Research, 2016 ABSTRACT Jiang, D. J.; Zhang, H.; Zou, T.; Li, Y. F.; Tang C., and Li, R. Z., 2016. Suspended particle size retrieval based on Geostationary Ocean Color Imager (GOCI) in the Bohai Sea. The suspended particle size has an important effect on the settling velocity of particles, the penetration of sunlight into the sea and the transmission of sound.
Dejuan Jiang +5 more
openaire +3 more sources
Mapping rice area and yield in northeastern asia by incorporating a crop model with dense vegetation index profiles from a geostationary satellite [PDF]
GIScience & Remote Sensing, 2021 Acquiring accurate and timely information on the spatial distribution of paddy rice fields and the corresponding yield is an important first step in meeting the regional and global food security needs. In this study, using dense vegetation index profiles
Jong-Min Yeom +3 more
doaj +3 more sources