DEVELOPMENT OF THE GOCI DATA PROCESSING SYSTEM AND ESTABLISHMENT OF KOREA OCEAN SATELLITE CENTER

Title
DEVELOPMENT OF THE GOCI DATA PROCESSING SYSTEM AND ESTABLISHMENT OF KOREA OCEAN SATELLITE CENTER
Author(s)
안유환; 조성익; 한희정; 양찬수
KIOST Author(s)
Cho, Seong Ick(조성익)Yang, Chan Su(양찬수)
Publication Year
2009-08-02
Abstract
The World’s first Ocean Color Observation Satellite, the GOCI (Geostationary Ocean Color Imager) equipped with isscheduled to be launched on Communication, Ocean and Meteorological Satellite (COMS) in November 2009. KoreaOcean Research & Development Institute (KORDI) has developed GOCI Data Processing System (GDPS) whichproduces ocean environment analysis data such as chlorophyll concentration, TSS, CDOM, Red-Tide, water currentvector, etc. In order to retrieve water-leaving radiance more precisely, atmospheric and BRDF (Bi-DirectionalReflectance Distribution Function) correction algorithms optimized for the environment of the GOCI coverage area andCOMS satellite orbit characteristics have been developed and implemented into the GDPS. GOCI operationalatmospheric correction algorithm has a capability to retrieve water-leaving radiance in the presence of aerosols with highoptical thickness (i.e. Asian Dust). At-sensor radiance which is affected by relative change of the Sun and satelliteposition is corrected by the GOCI BRDF Correction algorithm. GOCI L2 data which is the product of the GDPS isprovided with 8 VNIR band images with 4967 x 5185 pixel resolution on the GOCI coverage area. As GOCI mainoperation center, Korea Ocean Satellite Center (KOSC) has been established by KORDI. Main operational functions ofKOSC are the acquisition, processing, and storage of the GOCI data and distribution service of ocean satellite standardproducts generated from the GOCI data. Operational systems of KOSC are GDAS(GOCI Data Acquisition System),IMPS(Image Pre-processing System), GDPS, DMS(Data Management System), and GDDS(GOCI Data DistributionSystem). After the launch, KOSC has a plan to provide the GOCI data for the real time ocean environment and marinebio-physical phenomena variability monitoring.
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/29369
Bibliographic Citation
SPIE Optics+Photonics 2009, pp.1 - 8, 2009
Publisher
SPIE
Type
Conference
Language
English
Publisher
SPIE
Related Researcher
Research Interests

Development of Ocean Satellites and Data Analytics,해양위성 및 영상분석 실용화 기술 개발

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