Consistency of Suspended Particulate Matter Concentration in Turbid Water Retrieved from Sentinel-2 MSI and Landsat-8 OLI Sensors. [PDF]
Sensors (Basel), 2021 Wang H, Wang J, Cui Y, Yan S.
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GOCI APPLICATIONS AROUND THE KOREAN PENINSULA
, 2010 In June 2010, Geostationary Ocean Color Imager (GOCI), the world’s first ocean color observation satellite has been launched. GOCI is planned for use in real-time monitoring of the ocean environment around Korean Peninsula by daily analysis of ocean ...
양찬수 +3 more
core
From rigidity to collapse in soft coral slumping within the World Heritage coral gardens in Korean waters. [PDF]
Sci RepJöst AB, Kim T.
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Incorporation of machine learning and deep neural network approaches into a remote sensing-integrated crop model for the simulation of rice growth. [PDF]
Sci Rep, 2022 Jeong S, Ko J, Shin T, Yeom JM.
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, 2018 We investigate improvements to the quality of Geostationary Ocean Color Imager (GOCI) operational ocean color data processing, which requires routine ocean color product production in near real-time (NRT) and scientific reprocessing.
양신일, 박영제, 안재현
core
Hour by Hour PM<sub>2.5</sub> Mapping Using Geostationary Satellites. [PDF]
ACS EST AirPark S +5 more
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The impact of the direct effect of aerosols on meteorology and air quality using aerosol optical depth assimilation during the KORUS-AQ campaign. [PDF]
J Geophys Res Atmos, 2019 Jung J +6 more
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Mesoscale and submesoscale wavenumber spectra from the Geostationary Ocean Color Imager (GOCI)
, 2016 The Geostationary Ocean Color Imager (GOCI) continuously monitors the northeast Asian waters around Korea with 500 m horizontal resolution. These high resolution ocean color data enable us to study submesoscale processes much smaller than 10 km as well ...
장연식, 박영규
core
Long-term water types and satellite chlorophyll a variability in a river discharge environment around Ieodo Ocean Research Station. [PDF]
Sci RepPark KA +5 more
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Qualitative Dynamics of Suspended Particulate Matter in the Changjiang Estuary from Geostationary Ocean Color Images: An Empirical, Regional Modeling Approach. [PDF]
Sensors (Basel), 2018 Shang D, Xu H.
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