Results 191 to 200 of about 1,268 (218)

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

Radiometric Characteristics of Geostationary Ocean Color Imager (GOCI) for Land Applications

Korean Journal of Remote Sensing, 2012
The GOCI imagery can be an effective alternative to monitor short-term changes over terrestrial environments. This study aimed to assess the radiometric characteristics of the GOCI multispectral imagery for land applications. As an initial approach, we compared GOCI at-sensor radiance with MODIS data obtained simultaneously.
Sun－Hwa Kim, Jung-Il Shin
exaly   +3 more sources

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

An Assessment of Atmospheric Correction Methods for GOCI Images in the Yellow River Estuary

Journal of Coastal Research, 2019
Mu, B.; Qin, P.; Liu, C.; Liang, X.-J., and Huang, T.-X., 2019. An assessment of atmospheric correction methods for GOCI images in the Yellow River Estuary. In: Jung, H.-S.; Lee, S.; Ryu, J.-H., and Cui, T. (eds.), Advances in Remote Sensing and Geoscience Information Systems of Coastal Environments. Journal of Coastal Research, Special Issue No.
Bing Mu, Ping Qin, Chao Liu, Xi-Jian Liang, Ting-Xuan Huang   +4 more
openaire   +1 more source

Monitoring of Green Tide Under Cloud Based on GOCI-II Data

IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, 2022
Xiangrong Xin, Xirong Liu, Sheng Miao
openaire   +1 more source

Retrieval of aerosol optical properties from GOCI-II observations: Continuation of long-term geostationary aerosol monitoring over East Asia

Science of the Total Environment, 2023
Seoyoung Lee, Myungje Choi, Jhoon Kim
exaly