Receiving, Processing and Distributing Systems for GOCI(Geostationary Ocean Color Imager)

Title
Receiving, Processing and Distributing Systems for GOCI(Geostationary Ocean Color Imager)
Author(s)
양찬수; 배상수; 한태현; 한희정; 송정환; 안유환; 유홍룡
KIOST Author(s)
Yang, Chan Su(양찬수)Han, Tai Hyun(한태현)Han, Hee Jeong(한희정)
Alternative Author(s)
양찬수; 배상수; 한태현; 한희정; 송정환; 안유환; 유홍룡
Publication Year
2010-10-19
Abstract
KOSC(Korea Ocean Satellite Center), the primary operational organization for GOCI(Geostationary Ocean Color Imager), was established in KORDI(Korea Ocean Research & Development Institute). For a stable distribution service of GOCI data, various systems were installed at KOSC as follows: GOCI Data Acquisition System, Image Pre-processing System, GOCI Data Processing System, GOCI Data Distribution System, Data Management System, Total Management & Control System and External Data Exchange System. KOSC distributes the GOCI data 8 times to user at 1-hour intervals during the daytime in near-real time according to the distribution policy.We will review the geometric validation of GOCI L1B data produced at the IMPS(Image Pre-processing System) level. IMPS generate Level 0, Level 1A/1B, IMC(Image Motion Compensation) data and radiometric/geometric correction from GOCI raw data. IMPS is consisted DM(Decomposition Module, 1 server), INRSM(Image Navigation and Registration Software Module, 8 servers), IMPS DB(1 server), PMM(Product Management Module, 2 servers). PMM has a GUI(Graphic User Interface), so Operator can see only PMM. IMPS was developed with KARI(Korea Aerospace Research Institute) and Astrium company(in France).INR operational and tuning tests ar in process and will be continued until October. Preliminary results for the geometric performance are presented here with configuration parameters adjusted during tuning test. The parameters include cloud detection, landmark accuracy estimation, linear error correction, scheduler and IMC command generation parameters. Finally, we introduce the KOSC website for users to search, request and download GOCI data.
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/28695
Bibliographic Citation
PORSEC 2010, pp.11 - 12, 2010
Publisher
PORSEC
Type
Conference
Language
English
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