Results 61 to 70 of about 7,681,410 (136)
USER REQUIREMENTS OF NEXT GEOSTATIONARY OCEAN COLOR IMAGER
Geostationary Ocean Color Imager (GOCI-I), the world’s first space-borne ocean color observation geostationary satellite, was launched on June 2010. Development of GOCI-I took about 6 years, and its expected lifetime is about 7 years.
조성익, 유주형, 안유환
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Current status of GOCI-II Ground Segment Development and In-Orbit Test plan of GOCI-II
Korea Ocean Satellite Center (KOSC) has developed the Geostationary ocean color imager-II (GOCI-II) with Korea Aerospace Research Institute (KARI) and Airbus D&S since 2012 and the GOCI-II Ground Segment(G2GS) since 2015.
최우창 +5 more
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GOCI-II ON-ORBIT CALIBRATION PLAN: LESSONS FROM GOCI
After the successful launch and operation of Geostationary Ocean Color Imager (GOCI), the first pathfinder of ocean color remote sensing in geostationary orbit from 2010, is in nominal operation phase around six years since its launch in June 2010 ...
오은송 +3 more
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The data processing software system of Geostationary Ocean Color Imager (GOCI) is composed of the image pre-processing system (IMPS) and the GOCI data processing system (GDPS).
양찬수 +4 more
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Geostationary Ocean Color Imager-II (GOCI-II), which will be launched in early 2020, has high temporal and spatial resolution to monitor oceanographic phenomena occurred by various biogeochemical and/or physical interactions.
박영제, 양현, 한희정
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The Korea-United States Air Quality (KORUS-AQ) field study. [PDF]
Crawford JH +30 more
europepmc +1 more source
OVERVIEW OF THE GEOSTATIONARY OCEAN COLOR IMAGER (GOCI) SERIES
The ocean color represents characteristics of underwater colored constituents such as phytoplankton, inorganic suspended particles, detritus, and dissolved organic matter.
Lee, Sun Ju +11 more
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Korea Institute of Ocean Science and Technology (KIOST) and US institutes led by National Aeronautics and Space Administration (NASA) have a joint field campaign for ocean color studies (referred to as KORUS-OC, hereafter) in the East/Japan sea and ...
Joseph Salisbury +4 more
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Applications of Machine Learning in Chemical and Biological Oceanography. [PDF]
Sadaiappan B +5 more
europepmc +1 more source
The ocean color provides environmental information from underwater colored constituents such as phytoplankton, inorganic suspended particles, detritus, and dissolved organic matter.
Lee, Sun Ju +10 more
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