Overview of Geostationary Ocean Color Imager (GOCI) and GOCI Data Processing System (GDPS) SCIE SCOPUS KCI

Cited 180 time in WEB OF SCIENCE Cited 197 time in Scopus
Title
Overview of Geostationary Ocean Color Imager (GOCI) and GOCI Data Processing System (GDPS)
Author(s)
Ryu, Joo-Hyung; Han, Hee-Jeong; Cho, Seongick; Park, Young-Je; Ahn, Yu-Hwan
KIOST Author(s)
Ryu, Joo Hyung(유주형)Park, Young Je(박영제)
Alternative Author(s)
유주형; 한희정; 조성익; 박영제; 안유환
Publication Year
2012-09
Abstract
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 generation of various products. This paper describes GOCI characteristics and GDPS workflow/products, so as to enable the efficient utilization of GOCI. To provide quality images and data, atmospheric correction and data analysis algorithms must be improved through continuous Cal/Val. GOCI-II will be developed by 2018 to facilitate in-depth studies on geostationary ocean color satellites.
ISSN
1738-5261
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/3465
DOI
10.1007/s12601-012-0024-4
Bibliographic Citation
OCEAN SCIENCE JOURNAL, v.47, no.3, pp.223 - 233, 2012
Publisher
한국해양과학기술원
Keywords
Geostationary Ocean Color Imager (GOCI); GOCI Data Processing System (GDPS); operation; sensor design
Type
Article
Language
English
Document Type
Article
Publisher
한국해양과학기술원
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