Journal of Marine Science and Engineering, 2023 The Geostationary Ocean Color Imager (GOCI) provided images at hourly intervals up to 8 times per day with a spatial resolution of 500 m from 2011 to 2021.
Yixin Yang +6 more
doaj +1 more source
Estimation of Water Quality Index for Coastal Areas in Korea Using GOCI Satellite Data Based on Machine Learning Approaches [PDF]
, 2016 In Korea, most industrial parks and major cities are located in coastal areas, which results in serious environmental problems in both coastal land and ocean.
Ha, Sunghyun +4 more
core +1 more source
Evaluation of Four Atmospheric Correction Algorithms for GOCI Images over the Yellow Sea
Remote Sensing, 2019 Atmospheric correction (AC) for coastal waters is an important issue in ocean color remote sensing. AC performance is fundamental in retrieving reliable water-leaving radiances and then bio-optical parameters.
Xiaocan Huang +7 more
doaj +1 more source
Estimation of ground-level particulate matter concentrations through the synergistic use of satellite observations and process-based models over South Korea [PDF]
, 2019 Long-term exposure to particulate matter (PM) with aerodynamic diameters < 10 (PM10) and 2.5 mu m (PM2.5) has negative effects on human health. Although station-based PM monitoring has been conducted around the world, it is still challenging to ...
C.-K. Song +11 more
core +2 more sources
An Improved Cloud Masking Method for GOCI Data over Turbid Coastal Waters
Remote Sensing, 2021 Clouds severely hinder the radiative transmission of visible light; thus, correctly masking cloudy and non-cloudy pixels is a preliminary step in processing ocean color remote sensing data.
Shiming Lu +6 more
doaj +1 more source
Assessing Diurnal Variability of Biogeochemical Processes Using the Geostationary Ocean Color Imager (GOCI) [PDF]
, 2018 Short-term (hours) 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 study ...
Javier Concha +3 more
openaire +1 more source
Aerosol optical properties derived from the DRAGON-NE Asia campaign, and implications for a single-channel algorithm to retrieve aerosol optical depth in spring from Meteorological Imager (MI) on-board the Communication, Ocean, and Meteorological Satellite (COMS) [PDF]
, 2016 An aerosol model optimized for northeast Asia is updated with the inversion data from the Distributed Regional Aerosol Gridded Observation Networks (DRAGON)northeast (NE) Asia campaign which was conducted during spring from March to May 2012.
B. Holben +12 more
core +2 more sources
Initial On-Orbit Modulation Transfer Function Performance Analysis for Geostationary Ocean Color Imager [PDF]
Journal of Astronomy and Space Sciences, 2012 The world’s first geostationary ocean color imager (GOCI) is a three-mirror anastigmat optical system 140 mm in diameter. Designed for 500 m ground sampling distance, this paper deals with on-orbit modulation transfer function (MTF)measurement and ...
Eunsong Oh +4 more
doaj +1 more source
Frontiers in Marine Science, 2022 The suspended sediment in water infers water quality, and directly reflects optical properties such as water transparency, turbidity, and water color. Thus, these physical properties provide a viable basis to rigorously retrieve for suspended sediment ...
Zhifeng Yu +13 more
doaj +1 more source
The Spatial Maps of Paddy Rice Yield over Northeast Asia Using COMS Geostationary Satellite and Reanalysis Meteorological Data [PDF]
Geo Data, 2021 This study estimated rice yield maps for Northeast Asia by using the Communication, Ocean and Meteorological satellite (COMS), Terra satellite, and Regional Data Assimilation and Prediction System (RDAPS) of the numerical model.
Seungtaek Jeong +2 more
doaj +1 more source