Results 61 to 70 of about 1,268 (218)
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
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
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
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 Retrievals of ocean color (OC) properties from space are important for understanding the ocean ecosystem, the carbon cycle, and monitoring events such as harmful algal blooms (HABs). The recently launched U.S. National Aeronautics and Space Administration (NASA) Earth Venture Instrument, the geostationary Tropospheric Emissions: Monitoring of ...
Z. Fasnacht +10 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
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
Variations of transparency derived from GOCI in the Bohai Sea and the Yellow Sea
Secchi disk depth (Zsd), represents water transparency which is an intuitive indicator of water quality and can be used to derive inherent optical properties, chlorophyll-a concentrations, and primary productivity. In this study, the Zsd was derived from the Geostationary Ocean Color Imager (GOCI) data over the Bohai Sea (BHS) and the Yellow Sea (YS ...
Ying, Mao +4 more
openaire +2 more sources
Improvement of GOCI-II Water Vapor Absorption Correction through Fusion with GK-2A/AMI Data
In remote sensing of the ocean color, in particular, in coarse-resolution global model simulations, atmospheric trace gases including water vapor are generally treated as auxiliary data, which create uncertainties in atmospheric correction.
Kyeong-Sang Lee +3 more
doaj +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

