• Journal of Astronomy and Space Sciences
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• 제29권2호
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• pp.199-208
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• 2012

The world's first geostationary ocean color imager (GOCI) is a three-mirror anastigmat optical system 140 mm in diameter. Designed for 500 m ground sampling distance, this paper deals with on-orbit modulation transfer function (MTF)measurement and analysis for GOCI. First, the knife-edge and point source methods were applied to the 8th band (865 nm) image measured April 5th, 2011. The target details used are the coastlines of the Korean peninsula and of Japan, and an island 400 meters in diameter. The resulting MTFs are 0.35 and 0.34 for the Korean East Coastline and Japanese West Coastline edge targets, respectively, and 0.38 for the island target. The daily and seasonal MTF variations at the Nyquist frequency were also checked, and the result is $0.32{\pm}0.04$ on average. From these results, we confirm that the GOCI on-orbit MTF performance satisfies the design requirements of 0.32 for 865 nm wavelength.

• 해양환경안전학회:학술대회논문집
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• 해양환경안전학회 2008년도 춘계학술발표회
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• pp.191-195
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• 2008

한국해양연구원에서는 2009년 6월 예정인 통신해양기상위성의 해색센서(GOCI) 데이터의 수신, 처리, 배포를 위한 해양위성센터를 구축하고 있다. 해양위성센터의 위치는 전파 수신 환경 등의 조건을 고려하여, 5곳의 후보지중 안산으로 최종 선정하였고, 기존 건물을 센터의 기능에 맞게 구조변경을 완료하였다. L-Band로 전송되는 위성 신호를 수신하기 위해 9m 그레고리안식 안테나 및 RF 장비 등 수신시스템을 구축하고 있으며, 수신된 데이터를 처리하고 관리하기 위해 네트워크장비, 대용량 저장장치, 위성자료 전처리시스템, 위성자료 처리시스템, 자료관리 시스템, 통합감시제어시스템, 기관간자료교환시스템을 구축하였다. 추후 자료배포시스템, 작업관리시스템, 위성자료 통합연구분석시스템, 외국위성 수신시스템 등을 구축 완료하여, 정지궤도 해양위성의 활용 극대화를 위한 해양위성센터 구축을 최종목표로 하고 있다.

• 대한원격탐사학회지
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• 제15권4호
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• pp.367-375
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• 1999

This paper describes the development, operations, and applications of ROCSAT-l and its Ocean Color Imager (OCI) remote-sensing payload. It is the first satellite program of NSPO. The satellite was successfully launched by Lockheed Martin's Athena on January 26, 1999 from Cape Canaveral, Florida. ROCSAT-l is a Low Earth Orbit (LEO) experimental satellite. Its circular orbit has an altitude of 600km and an inclination angle of 35 degrees. The satellite is designed to carry out scientific research missions, including ocean color imaging, experiments on ionospheric plasma and electrodynamics, and experiments using Ka-band (20∼30GHz) communication payloads. The OCI payload is utilized to observe the ocean color in 7 bands (including one redundant band) of Visible and Near-Infrared (434nm∼889nm) range with the resolution of 800m at nadir and the swath of 702km. It employs high performance telecentric optics, push-broom scanning method using Charge Coupled Devices (CCD) and large-scale integrated circuit chips. The water leaving radiance is estimated from the total inputs to the OCI, including the atmospheric scattering. The post-process estimates the water leaving radiance and generates different end products. The OCI has taken images since February 1999 after completing the early orbit checkout. Analyses have been performed to evaluate the performances of the instrument in orbit and to compare them with the pre-launch test results. This paper also briefly describes the ROCSAT-l mission operations. The spacecraft operating modes and ROCSAT Ground Segment operations are delineated, and the overall initial operations of ROCSAT-l are summarized.

• 한국지리정보학회지
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• 제22권4호
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• pp.215-228
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• 2019

해양관측 정지궤도 위성인 GOCI(Geostationary Ocean Color Imager) 데이터는 대용량 산출물을 효과적으로 저장, 배포하기 위해 HDF5 자료 형식을 사용하고 있다. 해양위성센터에서는 HDF5(Hierarchical Data Format version5) 포맷에 익숙지 않은 일반 사용자를 위해 GDPS(GOCI Data Processing System)를 개발하여 관측자료와 함께 제공하고 있다. 그럼에도 불구하고 위성데이터 특성에 대한 이해와 GDPS의 사용법을 익혀야 하는 점, 그리고 위치정보와 속성정보가 분리되어 있는 HDF5 형식의 자료를 병합하고 가공하는 일은 쉽지 않은 일이다. 따라서 본 연구에서는 오픈소스 R과 rhdf5, data.table, matrixStats 패키지를 이용하여 GDPS를 이용하는 과정 없이도 HDF5 형식의 위성데이터를 손쉽게 활용할 수 있는 알고리즘을 개발하였다.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2005년도 Proceedings of ISRS 2005
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• pp.104-107
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• 2005

COMS(Communication, Ocean, and Meteorological Satellite) is the geostationary satellite for the mission of satellite communication, ocean monitoring, and meteorological service. It is scheduled to be launched at the end of 2008. Ocean payload of COMS named as GOCI(Geostationary Ocean Color Imager) observes ocean color and derives the chlorophyll concentrlition, the concentration of dissolved organic material and so on. In operational oceanography, satellite derived data products are used to provide forecasting and now casting of the ocean and coastal water state. In this work, conceptual design of structural part of GOCI is carried out and two baseline concepts are proposed. The one is dioptric module that uses lens system and the other is TMA(Three Mirror Anastigmat) module that uses mirror system. Trade-off studies between two concepts are investigated by considering optical and mechanical performances. Finally, on-going tasks and future development plan are briefly discussed.

• 대한원격탐사학회지
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• 제23권2호
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• pp.137-144
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• 2007

한국해양연구원에서는 2008년으로 예정된 통신해양기상위성의 발사에 맞춰 해색센서 데이터의 수신, 처리, 배포를 위한 해양위성센터 구축을 진행하고 있다. 해양위성센터의 위치는 전파 수신 환경 등의 조건을 고려하여, 5곳의 후보지 중 안산으로 정하였다. 수신시스템은 안테나와 RF로 나뉘어지며, 안테나는 위성으로부터 L밴드로 전송되는 센서데이터를 수신하기 위하여 직경 9m의 카세그레인식 안테나(G/T: 1.67GHz에서 19.35$(dB/^{\circ}K)$)로 설계하였다 RF는 다시 LNA와 다운컨버터로 구성되며 수평편파만을 분리해 모뎀으로 전송하도록 설계하였다. 기존 건물은 센터의 운용개념에 맞도록 전산실, 수전실, 상황실, 자료 처리실 등으로 내부 구조 변경 설계가 완료되었다. H/W및 N/W는 데이터의 수신, 처리, 배포에 효율성을 고려하여 6가지 세부 시스템으로 나누어 설계되었다. 가장 중요한 자료 배포 시스템은 위성을 통한 LRIT 배포 시스템과 인터넷을 통한 자료배포 시스템으로 구성된다. 또한 수신된 데이터를 1시간 내에 제공하기 위해 웹호스팅 등 외부데이터 제공 시스템도 구축하는 것을 추진 예정이다.

• 대한원격탐사학회지
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• 제26권2호
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• pp.157-165
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• 2010

정지궤도에서는 세계 최초로 개발된 정지궤도 해색위성(GOCI)이 2010년 6월에 발사될 예정이다. GOCI는 발사 이후 7년간 매일 주간(晝間) 8회 한반도 주변 해양의 클로로필 농도, 용존유기물 농도, 부유물질의 양 등 해양환경분석자료를 생산함으로써 한반도 주변 해양환경의 실시간 감시 임무를 수행할 계획이다. 정지궤도 해색위성의 관측 자료는 어장정보 제공 서비스 및 적조 등 해양재해 예측에 활용될 예정이며, 정지궤도 해색위성에서 산출된 해양의 일차생산력 자료는 해양 탄소순환 연구에 활용되어 해양의 기후변화를 연구하는 데 유용하게 활용될 수 있다. 본 연구에서는 정지궤도 해색위성의 개발 배경 및 사용자 요구사양, 하드웨어 구조, 센서 운용 개념에 대해 설명한다.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2002년도 Proceedings of International Symposium on Remote Sensing
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• pp.649-654
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• 2002

In summer season of 1998, a huge flood occurred around the Yangtze River in the eastern China. The low salinity water less than 28 psu from the river was detected around the southeastern part of the Jeju Island which is located in the southern part of the Korean peninsula. We studied how to detect low salinity water from the Yangtze River, which gives terrible damages to the Korean fisheries. We got the relationships between low surface salinity, turbid water from the Yangtze River and digital ocean color using remote sensing of SeaWiFS satellite in the northern East China Sea in summer seanson of 1998, 1999, 2000 and 2001. The charts of salinity in the northern East China Sea were made by the regenerating of the satellite ocean color data with the formula from the relationships between low salinity, in situ turbid water (transparency) and satellite ocean color.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume I
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• pp.467-470
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• 2006

Geostationary Ocean Color Imager (GOCI) onboard its Communication Ocean and Meteorological Satellite (COMS) is scheduled for launch in 2008. GOCI includes the eight visible-to-near-infrared (NIR) bands, 0.5km pixel resolution, and a coverage region of 2500 ${\times}$ 2500km centered at 36N and 130E. GOCI has had the scope of its objectives broadened to understand the role of the oceans and ocean productivity in the climate system, biogeochemical variables, geological and biological response to physical dynamics and to detect and monitor toxic algal blooms of notable extension through observations of ocean color. To achieve these mission objectives, it is necessary to develop an atmospheric correction technique which is capable of delivering geophysical products, particularly for highly turbid coastal regions that are often dominated by strongly absorbing aerosols from the adjacent continental/desert areas. In this paper, we present a more realistic and cost-effective atmospheric correction method which takes into account the contribution of NIR radiances and include specialized models for strongly absorbing aerosols. This method was tested extensively on SeaWiFS ocean color imagery acquired over the Northwest Pacific waters. While the standard SeaWiFS atmospheric correction algorithm showed a pronounced overcorrection in the violet/blue or a complete failure in the presence of strongly absorbing aerosols (Asian dust or Yellow dust) over these regions, the new method was able to retrieve the water-leaving radiance and chlorophyll concentrations that were consistent with the in-situ observations. Such comparison demonstrated the efficiency of the new method in terms of removing the effects of highly absorbing aerosols and improving the accuracy of water-leaving radiance and chlorophyll retrievals with SeaWiFS imagery.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 1999년도 Proceedings of International Symposium on Remote Sensing
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• pp.375-380
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• 1999

Ocean Scanning Multispectral Imager (OSMI) is a payload on the KOMPSAT satellite to perform worldwide ocean color monitoring for the study of biological oceanography. The instrument images the ocean surface using a wisk-broom motion with a swath width of 800 km and a ground sample distance (GSD) of<1km over the entire field of view (FOV). The instrument is designed to have an on-orbit operation duty cycle of 20% over the mission lifetime of 3 years with the functions of programmable gain/offset and on-board image data compression/storage. The instrument also performs sun and dark calibration for on-board instrument calibration. The OSMI instrument is a multi-spectral imager covering the spectral range from 400nm to 900nm using CCD Focal Plane Array (FPA). The ocean colors are monitored using 6 spectral channels that can be selected via ground commands. KOMPSAT satellite with OSMI was integrated and the satellite level environment tests and instrument aliveness/functional test as well, such as launch environment, on-orbit environment (Thermal/vacuum) and EMl/EMC test were performed at KARI. Test results met the requirements and the OSMI data were collected and analyzed during each test phase. The instrument is launched on the KOMPSAT satellite in the late 1999 and the image is scheduled to start collecting ocean color data in the early 2000 upon completion of on-orbit instrument checkout.