Results 141 to 150 of about 412 (172)

Overview of geostationary ocean color imager (GOCI) and GOCI data processing system (GDPS)

Ocean Science Journal, 2012
GOCI, the world’s first geostationary ocean color satellite, provides images with a spatial resolution of 500 m at hourly intervals up to 8 times a day, allowing observations of short-term changes in the Northeast Asian region. The GOCI Data Processing System (GDPS), a specialized data processing software for GOCI, was developed for real-time ...
Yu-Hwan Ahn, Joo-Hyung Ryu, Young-Je Park   +2 more
exaly   +2 more sources

Application of GOCI Satellite Data to Ocean Modeling

Journal of Coastal Research, 2013
ABSTRACT Kim, C.S., Park, Y.J., Park, K.S., Shim, J.S. and Lim, H.S., 2013. Application of GOCI Satellite Data to Ocean Modeling This study demonstrates possible application of satellite data to numerical modeling, and vice versa, to improve the quality of the processed information. A new geostationary satellite with the three missions of communication,
Chang S. Kim, Young-Je Park, Kwang Soon Park, Jae Seol Shim, Hak-Soo Lim   +4 more
openaire   +1 more source

Cloud motion in the GOCI/COMS ocean colour data

International Journal of Remote Sensing, 2016
The Geostationary Ocean Colour Imager GOCI instrument, on Korea’s Communications, Oceans, and Meteorological Satellite COMS, can produce a spectral artefact arising from the motion of clouds – the cloud is spatially shifted and the amount of shift varies by spectral band.
Wayne D. Robinson, Bryan A. Franz, Antonio Mannino, Jae-Hyun Ahn   +3 more
openaire   +1 more source

Estimation of aerosol spectral characteristics by GOCI hourly observations

SPIE Proceedings, 2014
This study proposes a method for estimating the spectral characteristics of aerosol scattering using the Korean Geostationary Ocean Color Imager (GOCI). GOCI three-hourly observations around noon are used to separate ocean and aerosol reflectance with the assumption that the aerosol amount changes but that the spectral shape of the aerosol scattering ...
Hiroshi Murakami, Yoko Kiyomoto, Hiroaki Sasaki   +2 more
openaire   +1 more source

Coastal sea surface current observation with GOCI imagery

SPIE Proceedings, 2013
Measurements of sea surface currents are important in understanding the dynamic of ocean processes especially in coastal waters, and satellite remote sensing has been used to derive sea surface advective velocities with visible or infrared imagery. Yet satellite remote sensing suffered from lack of high temporal imagery in dynamic coastal waters and ...
Xiulin Lou, Aiqin Shi, Huaguo Zhang
openaire   +1 more source

Assessment of GOCI radiometric products using MERIS, MODIS and field measurements

Ocean Science Journal, 2012
The first Geostationary Ocean Color Imager (GOCI) launched by South Korea in June 2010 constitutes a major breakthrough in marine optics remote-sensing for its capabilities to observe the diurnal cycles of the ocean. The light signal recorded at eight wavelengths by the sensor allows, after correction for Solar illumination and atmospheric effects, the
Lamquin, Nicolas, Mazeran, Constant, Doxaran, David, Ryu, Joo-Hyung, Park, Young-Je   +4 more
openaire   +3 more sources

Remote sensing of atmospheric aerosol and ocean color for the COMS/GOCI

SPIE Proceedings, 2010
The Geostationary Ocean Color Imager (GOCI) on board the Communication Ocean Meteorological Satellite (COMS) requires accurate atmospheric correction for the purpose of qualified ocean remote sensing. Since its eight bands are affected by atmospheric constituents such as gases, molecules and atmospheric aerosols, understanding of aerosolradiation ...
Kwon-Ho Lee, Young J. Kim, Gwan C. Kim, Man S. Wong, Yu H. Ahn   +4 more
openaire   +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

Monitoring Atmospheric Composition by Geo-Kompsat-2: Goci-2, Ami and Gems

IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
Monitoring of aerosol optical properties in high temporal and spatial resolution has been realized with the launch of Geostationary Ocean Color Imager(GOCI) and Meteorological Imager(MI) onboard the Communication, Oceanography, and Meteorology Satellite(COMS), also known as GEO-KOMPSAT(GK)-1 in 2010.
Jhoon Kim, Myungje Choi, Mijin Kim, Hyungwang Lim, Seovouna Lee, Kyung Jung Moon, Won Joon Choi, Jong Min Yoon, Sang-Kyoon Kim, Dai Hn Ko, Seung Hoon Lee, Youngje Park, Chu-Yong Chung   +12 more
openaire   +1 more source

Monitoring atmospheric composition by GEO-KOMPSAT-1 and 2: GOCI, MI and GEMS

2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2016
With the launch of Geostationary Ocean Color Imager(GOCI) and Meteorological Imager(MI) onboard the Communication, Oceanography, and Meteorology Satellite(COMS) in 2010, hourly monitoring of various aerosol properties has been realized. Together with the plan to launch Geostationary Environment Monitoring Spectrometer(GEMS) in 2019, monitoring of trace
Jhoon Kim, Mijin Kim, Myungje Choi, Youngje Park, Chu-Yong Chung, Limseok Chang, Seung Hoon Lee   +6 more
openaire   +1 more source