Results 81 to 90 of about 5,181 (243)
Abstract We analyze 2011–2022 trends in wintertime fine particulate matter (PM2.5) and its composition in South Korea using surface network data and machine learning. PM2.5 decreased nationwide by 1.2 μg m−3 per year after correcting for meteorology.
Drew C. Pendergrass +13 more
wiley +1 more source
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 +6 more
openaire +2 more sources
Simulation of Sedimentation in Lake Taihu with Geostationary Satellite Ocean Color Data
In this study, the goal is to estimate the sedimentation on the bottom bed of Lake Taihu using numerical simulation combined with geostationary satellite ocean color data.
Anpeng He +6 more
doaj +1 more source
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 +1 more source
The detection and removal of erroneous pixels is a critical pre-processing step in producing chlorophyll-a (chl-a) concentration values to adequately understand the bio-physical oceanic process using optical satellite data.
Ji-Eun Park, Kyung-Ae Park
doaj +1 more source
Since the Geostationary Ocean Color Imager (GOCI) was successfully launched in 2010, the GOCI Yonsei aerosol retrieval (YAER) algorithm has been continuously updated to retrieve hourly aerosol optical properties. GOCI-II has 4 more channels including UV,
Seoyoung Lee +8 more
semanticscholar +1 more source
Abstract The detection of submesoscale fronts is critical for understanding physical‐biological interactions and ecosystem variability. This study characterizes the diurnal variability of chlorophyll‐a (Chl‐a) fronts using hourly data from the geostationary satellite GK‐2B/GOCI‐II in the East/Japan Sea.
Hye‐Jin Woo +2 more
wiley +1 more source
Assessment of Normalized Water-Leaving Radiance Derived from GOCI Using AERONET-OC Data
The geostationary ocean color imager (GOCI), as the world’s first operational geostationary ocean color sensor, is aiming at monitoring short-term and small-scale changes of waters over the northwestern Pacific Ocean.
Mingjun He +4 more
doaj +1 more source
Abstract Phytoplankton chlorophyll Sun‐induced fluorescence is observable in the upwelling light field of the ocean. This allows its observation by radiometers in situ or on satellite sensors. Since it is influenced by both biomass and physiology it can potentially provide information about both.
Yannick Huot +2 more
wiley +1 more source
The Changjiang River loads freshwater into the East China Sea (ECS) and the Yellow Sea (YS). A low-salinity plume known as Changjiang Diluted Water (CDW) is formed by mixing with saline ambient waters; it disperses toward Jeju Island and the East/Japan ...
Young Baek Son, Jong-Kuk Choi
doaj +1 more source

