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Marine Disaster Detection Using the Geostationary Ocean Color Imager (GOCI)

International Journal of u- and e- Service, Science and Technology, 2016
Recently, harmful algae (e.g., red tide) has damaged human and marine ecosystems. To address this, a response system should be developed to quickly cope with these ocean disasters. However, it is difficult to simultaneously monitor the vast ocean areas.
Hyun Yang   +4 more
openaire   +1 more source

Development of atmospheric correction algorithm for Geostationary Ocean Color Imager (GOCI)

Ocean Science Journal, 2012
This paper describes an atmospheric correction algorithm for Geostationary Ocean Color Imager (GOCI) and its early phase evaluation. This algorithm was implemented in GOCI Data Processing System (GDPS) version 1.1. The algorithm is based on the standard SeaWiFS method, which accounts for multiple scattering effects and partially updated in terms of ...
Jae-Hyun Ahn   +4 more
openaire   +1 more source

Inter-slot radiometric discrepancy correction (IRDC) for GOCI ocean colour products

International Journal of Remote Sensing, 2017
ABSTRACTThe inter-slot radiometric discrepancy (IRD) causes serious inconsistency in geostationary ocean colour imager (GOCI) radiometric products across the neighbouring slots. An accurate IRD correction is essential for generating operational ocean colour products, but it remains a challenging task because of its dynamic variation irrespective of ...
Nagendra Jaiganesh   +3 more
openaire   +1 more source

Multi-Satellite Image Matching and Deep Learning Segmentation for Detection of Daytime Sea Fog Using GK2A AMI and GK2B GOCI-II

Remote Sensing
Traditionally, sea fog detection technologies have relied primarily on in situ observations. However, point-based observations suffer from limitations in extensive monitoring in marine environments due to the scarcity of observation stations and the ...
Jonggu Kang   +6 more
semanticscholar   +1 more source

Improving air quality forecasting with the assimilation of GOCI AOD retrievals

2020
<p>The Korean Geostationary Ocean Color Imager (GOCI) satellite has monitored the East Asian region in high temporal and spatial resolution every day for the last decade, providing unprecedented information on air pollutants over the upstream region of the Korean peninsula.
Soyoung Ha, Zhiquan Liu
openaire   +1 more source

Spatial and temporal variation of nutrient distribution in the Yangtze River estuary and adjacent waters: Insights from GOCI data analysis.

Marine Environmental Research
Nutrients are critical in assessing water quality, so understanding their distribution and variability is essential for effective marine environmental protection.
Chao Yu   +5 more
semanticscholar   +1 more source

Quantitative estimation of suspended sediment movements in coastal region using GOCI

Journal of Coastal Research, 2013
ABSTRACT Choi, J. K., Hyun Yang, H. J. Han, Ryu, J. H. and Park, Y.J., 2013. Quantitative estimation of the suspended sediment movements in the coastal region using GOCI The Geostationary Ocean Color Imager (GOCI), the world's first geostationary ocean color observation satellite, is useful for monitoring the temporal dynamics of coastal water ...
Jong-Kuk Choi   +4 more
openaire   +1 more source

A new combined atmospheric correction algorithm for GOCI-2 Data over coastal waters assessed by long-term satellite ocean color platforms

International Journal of Remote Sensing
Accurate atmospheric correction (AC) is essential in retrieving ocean and coastal water ecosystem products from ocean colour remote sensing data. Generally, the atmospheric correction algorithms that are based on Near Infrared (NIR) bands are effective ...
Feng Qiao   +5 more
semanticscholar   +1 more source

Estimating photosynthetically available radiation at the ocean surface from GOCI data

Ocean Science Journal, 2012
A technique is presented to estimate photosynthetically available radiation (PAR) at the ocean surface from Geostationary Ocean Color Imager (GOCI) data. The sensor is adapted to the problem, since it measures at visible wavelengths and does not saturate over clouds, and the hourly data provides adequate temporal sampling to describe diurnal ...
Robert Frouin, John McPherson
openaire   +1 more source

A Neural Network-Based Atmospheric Correction Algorithm for GOCI Imagery Over Coastal Waters

IEEE Transactions on Geoscience and Remote Sensing
The geostationary ocean color imager (GOCI) has provided eight observations per day since 2010 and has been widely used in coastal dynamics of bio-optical parameters. However, accurate atmospheric correction (AC) of GOCI data over coastal waters is still
Jilin Men   +3 more
semanticscholar   +1 more source

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