• The Bulletin of The Korean Astronomical Society
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• v.37 no.2
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• pp.226.2-226.2
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• 2012

해양관측위성 2호(Geostationary Ocean Color Imager-II, GOCI-II)는 2017년에 미션이 종료되는 천리안 해양관측위성(GOCI)의 후속 위성으로, 2018년 발사 예정이다. 해양관측위성 2호는 천리안 해양관측위성과 동일한 정지궤도위성으로 동경 128.2도 적도상공에 위치하여 임무를 수행하게 된다. 총 13개의 분광밴드로 관측이 이루어지며, 370 nm ~ 900 nm(VIS/NIR) 11개, $0.9{\mu}m{\sim}1.3{\mu}m$ (SWIR) 2개의 분광밴드로 구성될 예정이다. 관측모드는 지역 관측(LA, Local Area)과 전구관측(Full Disk)으로 구성되며, 지역관측은 천리안 해양관측위성과 동일한 한반도 중심 $2,500km{\times}2,500km$ 영역에 대하여 천리안 대비 2배 향상된 공간해상도 250m로 관측할 예정이다. 관측 횟수는 기본적으로 기존 천리안 해양관측위성과 동일하게 낮시간 기준 1일 8회 관측이 이뤄지지만, 태양고도가 높은 하절기에는 1일 10회 관측이 수행된다. 전구관측은 $12,800km{\times}12,800km$ 이상의 영역을 관측하며 전지구적 관점의 해양 기후변화 관측 임무를 수행하며, 1일 1회 준실시간 형태로 관측이 진행된다. 본 연구에서는 정지궤도에서의 관측으로 인한 지역관측 영역 내에서 위치별 공간해상도의 차이, 탑재 예정 광검출기의 각 후보별 촬영 슬롯 개수의 변화와 지역관측 영역에서 계절에 따른 태양고도 변화 분석을 통한 1일 관측 횟수에 대해 논하고자 한다.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.44 no.8
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• pp.710-717
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• 2016

Satellite payload can be classified as electro-optical payload, SAR, microwave radiometer, communication payload, navigation payload and so on in accordance with the mission objective. The technology of satellite payload was tried to be obtained through development of KOMPSAT series, COMS and STSAT in Korea. In this paper, the required technology for the development and world market trend of satellite payload were studied and described. Since KOMPSAT program has been started in 1994, technology status and future prospects of satellite payload in Korea are studied and analyzed.

• Korean Journal of Remote Sensing
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• v.39 no.6_2
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• pp.1529-1539
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• 2023

The data from Geostationary Ocean Color Imager-II (GOCI-II), which observes the color of the sea to monitor marine environments, undergoes various correction processes in the ground station system, producing data from Raw to Level-2 (L2). Quality issues arising at each processing stage accumulate step by step, leading to an amplification of errors in the satellite data. To address this, improvements were made to the GOCI-II ground station system to measure potential optical quality and geolocation accuracy errors in the Level-1A/B (L1A/B) data. A newly established Radiometric and Geometric Performance Assessment Module (RGPAM) now measures five optical quality factors and four geolocation accuracy factors in near real-time. Testing with GOCI-II data has shown that RGPAM's functions, including data processing, display and download of measurement results, work well. The performance metrics obtained through RGPAM are expected to serve as foundational data for real-time radiometric correction model enhancements, assessment of L1 data quality consistency, and the development of reprocessing strategies to address identified issues related to the GOCI-II detector's sensitivity degradation.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.49 no.5
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• pp.417-424
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• 2021

The S-band telemetry and telecommand formats for geostationary orbit satellites should have sufficient reliability, since they transmit massive satellite health data and receive the mission commands in the 36,000km of the geostationary orbit. Also, they have to efficiently manage the large quantity of satellite health data under the limited data transmission rate. Cheollian-2A and 2B satellites were developed by Korea Aerospace Research Institute and launched at 2018 and 2020, respectively. Their missions are to conduct continuously the mission of Cheollian-1, which was the first geostationary orbit satellite of Korea. Therefore, the fundamental S-band data format design for Cheollian-2A and 2B should meet the requirements of Cheollian-1. Meanwhile the latest remote data processing techniques for these newest geostationary orbit satellites should be implemented. In this paper, the advanced S-band space data formats and management methods are proposed for more efficient data transmission, reception and operation with the limited data rate of the geostationary orbit satellites. The implemented results in the flight software of Cheollian-2A and 2B are described in detail.

• Proceedings of the Korea Water Resources Association Conference
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• 2016.05a
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• pp.10-14
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• 2016

육상의 증발산량(evapotranspiration, ET)은 대기 중 수증기의 상변화를 통해 대기와 지표 사이의 물과 에너지 순환에 영향을 미치며, 강수량, 유출량과 함께 수자원에 영향을 미치는 주요 인자이다. 강수량과 유출량은 직접 관측이 가능한 반면, 증발산량은 숨어있는 잠열로서 관측하기 어렵다. 플럭스 타워나 라이지메타(Lysimeter) 등을 이용하여 증발산량을 직접 관측하고 있으나 이들 지상관측은 일부 지점(point)에서 제한적으로 이루어지고 있으며, 관측 지점의 수를 확대하게되면 관측 기기의 유지 보수 등의 많은 시간과 비용이 든다는 한계가 있다. 이러한 지상관측의 한계를 극복하고 넓은 영역의 증발산량 변화를 관측하기 위해 위성을 이용한 증발산량을 추정하는 연구가 활발히 진행되고 있다. 기상청 국가기상위성센터(National Meteorological Satellite Center, NMSC)에서는 우리나라 최초의 정지 기상 위성인 천리안 위성(Communication, Ocean and Meteorological Satellite, COMS) 자료를 지표 에너지 수지식(Surface Energy Budget Equation)에 적용하여 동아시아 지역의 지면과 식생 특성을 반영한 '일(daily) 증발산량 산출 알고리즘'을 개발하였다. 현열을 계산하기 위해 다양한 입력 변수가 사용되어지고 계산 과정이 복잡하기 때문에, 본 연구에서는 '반 경험적인 계수인 B 계수 모델'을 사용하여 현열 산출 기법을 단순화하였다. 본 알고리즘을 이용하여 2011년 4월부터 현재까지 동아시아(위도 $20{\sim}50^{\circ}N$, 경도 $100{\sim}145^{\circ}E$)의 해상도 1km의 일 증발산량을 산출하였고, 위성 증발산량의 검증을 위해 지면 특성이 다른 청미천(농경지), 설마천(혼효림) 지역의 플럭스 타워 증발산량 자료(유량조사사업단 제공)와 비교 분석하였다. 2011년 4월부터 2014년 12월까지 청미천 지역에서의 플럭스 타워 관측과 비교한 결과, 총 665개 자료에 대하여 RMSE는 2.82 mm/day, Bias는 2.56 mm/day의 결과를 보였다. 동일한 기간에 대하여 설마천 지역에서의 플럭스 타워 관측과 비교한 결과, 총 582개 자료에 대하여 RMSE는 1.92 mm/day, Bias는 1.45 mm/day의 결과를 보였다. 기상청 국가기상위성센터의 위성증발산량이 봄과 가을철에 다소 높게 산출되는 경향이 있었으나, 증발산량의 변화경향은 유사하게 나타났다. 이러한 결과를 바탕으로 동아시아 지역 위성 증발산량 변화를 감시하고 있으며 향후, 수문 및 기후 분야에서 가뭄 모니터링 등의 연구에도 활용할 수 있을 것이다.

• Korean Journal of Remote Sensing
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• v.34 no.3
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• pp.507-517
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• 2018

Aerosol optical depth (AOD) data retrieved by the Communication, Ocean and Meteorological Satellite (COMS) during 2011-2014 were compared with AOD measurements from 134 Aerosol Robotic Network (AERONET) sites over the East Asia. Overall, COMS and AERONET AODs were weakly correlated (R = 0.297). The agreement between COMS and AERONET AODs was improved when data from near Korean peninsula sites were selected (R = 0.475). Regression analysis results for each AERONET site are vary from R=0.026 at AOE_Baotou to 0.905 at DRAGON_Anmyeon. It was also shown that the bias in COMS AOD was not systematic with respect to effective radius, precipitable water, surface reflectance, and sun zenith angle. Together, these results suggest that COMS AOD measurements may be suitable for near Korea. Finally, the current results will help to improve the retrieval algorithm and vary when using alternative COMS AOD version in the future.

• Journal of the Korean Association of Geographic Information Studies
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• v.16 no.1
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• pp.36-46
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• 2013

The Geostationary Ocean Color Imager (GOCI), the first geostationary ocean color observation instrument launched in 2010 on board the Communication, Ocean, and Meteorological Satellite (COMS), has been generating the operational level 1 data. This study describes a methodology for creating the GOCI true color image and data processing software, namely the GOCI RGB maker. The algorithm uses a generic atmospheric correction and reprojection technique to produce the color composite image. Especially, the program is designed for educational purpose in a way that the region of interest and image size can be determined by the user. By distributing software to public, it would maximize the understanding and utilizing the GOCI data. Moreover, images produced from the geostationary observations are expected to be an excellent tool for monitoring environmental changes.

• Journal of Satellite, Information and Communications
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• v.11 no.3
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• pp.104-109
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• 2016

A technology of GEO satellite communications starts from Koreasat program in Korea. Payload equipment of EQM Ku and Ka band transponders had been developed and space-qualified Ka band payload in COMS was successfully launched in June, 2010. For the purpose of military communications, Dehop-Rehop transponder was developed in Koreasat5 as ANASIS system and DAT(Digital Active Transponder) and DCAMP(Digital Channel AMPlifier) transponders are now under development. In this paper, from the study of military satellite communications trend, a direction of military communication satellite is suggested based on the current GEO SATCOM technologies in Korea. Considering the limit of frequency resources, a technology of battlefield adaptive transponder with medium capacity against high moveable jamming tactics would be efficient for the future military SATCOM system. Mid-sized military satellites with frequency hopping and mid-capacity transponders can be a solution of vitalizing the GEO satellite programs.

• Korean Journal of Remote Sensing
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• v.37 no.5_2
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• pp.1317-1328
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• 2021

This study analyzes the early satellite mission marine fog detection results from Geostationary Ocean Color Imager-II (GOCI-II). We investigate optical characteristics of the GOCI-II spectral bands for marine fog between October 2020 and March 2021 during the overlapping mission period of Geostationary Ocean Color Imager (GOCI) and GOCI-II. For Rayleigh-corrected reflection (R_rc) at 412 nm band available for the input of the GOCI-II marine fog algorithm, the inter-comparison between GOCI and GOCI-II data showed a small Root Mean Square Error (RMSE) value (0.01) with a high correlation coefficient (0.988). Another input variable, Normalized Localization Standard (NLSD), also shows a reasonable correlation (0.798) between the GOCI and GOCI-II data with a small RMSE value (0.007). We also found distinctive optical characteristics between marine fog and clouds by the GOCI-II observations, showing the narrower distribution of all bands' R_rc values centered at high values for cloud compared to marine fog. The GOCI-II marine fog detection distribution for actual cases is similar to the GOCI but more detailed due to the improved spatial resolution from 500 m to 250 m. The validation with the automated synoptic observing system (ASOS) visibility data confirms the initial reliability of the GOCI-II marine fog detection. Also, it is expected to improve the performance of the GOCI-II marine fog detection algorithm by adding sufficient samples to verify stable performance, improving the post-processing process by replacing real-time available cloud input data and reducing false alarm by adding aerosol information.

• Korean Journal of Remote Sensing
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• v.37 no.6_1
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• pp.1767-1772
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• 2021

Global satellite observation surface albedo data over a long period of time are actively used to monitor changes in the global climate and environment, and their utilization and importance are great. Through the generational shift of geostationary satellites COMS (Communication, Ocean and Meteorological Satellite)/MI (Meteorological Imager sensor) and GK-2A (GEO-KOMPSAT-2A)/AMI (Advanced Meteorological Imager sensor), it is possible to continuously secure surface albedo outputs. However, the surface albedo outputs of COMS/MI and GK-2A/AMI differ between outputs due to Differences in retrieval algorithms. Therefore, in order to expand the retrieval period of the surface albedo of COMS/MI and GK-2A/AMI to secure continuous climate change monitoring linkage, the analysis of the two satellite outputs and errors should be preceded. In this study, error characteristics were analyzed by performing comparative analysis with ground observation data AERONET (Aerosol Robotic Network) and other satellite data GLASS (Global Land Surface Satellite) for the overlapping period of COMS/MI and GK-2A/AMI surface albedo data. As a result of error analysis, it was confirmed that the RMSE of COMS/MI was 0.043, higher than the RMSE of GK-2A/AMI, 0.015. In addition, compared to other satellite (GLASS) data, the RMSE of COMS/MI was 0.029, slightly lower than that of GK-2A/AMI 0.038. When understanding these error characteristics and using COMS/MI and GK-2A/AMI's surface albedo data, it will be possible to actively utilize them for long-term climate change monitoring.