• Title/Summary/Keyword: K-space

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Space Weather Monitoring System for Geostationary Satellites and Polar Routes

  • Baek, Ji-Hye;Lee, Jae-Jin;Choi, Seong-Hwan;Hwang, Jung-A;Hwang, Eun-Mi;Park, Young-Deuk
    • The Bulletin of The Korean Astronomical Society
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    • v.36 no.2
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    • pp.101.2-101.2
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    • 2011
  • We have developed solar and space weather monitoring system for space weather users since 2007 as a project named 'Construction of Korea Space Weather Prediction Center'. In this presentation we will introduce space weather monitoring system for Geostationary Satellites and Polar Routes. These were developed for satisfying demands of space weather user groups. 'Space Weather Monitoring System for Geostationary Satellites' displays integrated space weather information on geostationary orbit such as magnetopause location, nowcast and forecast of space weather, cosmic ray count rate, number of meteors and x-ray solar flux. This system is developed for space weather customers who are managing satellite systems or using satellite information. In addition, this system provides space weather warning by SMS in which short message is delivered to users' cell phones when space weather parameters reach a critical value. 'Space Weather Monitoring System for Polar Routes' was developed for the commercial airline companies operating polar routes. This provides D-region and polar cap absorption map, aurora and radiation particle distribution, nowcast and forecast of space weather, proton flux, Kp index and so on.

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Discussion of Critical Design Review (CDR) for MIRIS, the Main Payload of STSAT-3

  • Han, Won-Yong;Lee, Dae-Hee;Nam, Uk-Won;Park, Young-Sik;Jeong, Woong-Seob;Ree, Chang-Hee;Moon, Bong-Kon;Park, Sung-Joon;Cha, Sang-Mok;Park, Jang-Hyun;Lee, Duk-Hang;Ka, Nung-Hyun;Lee, Mi-Hyun;Seon, Kwang-Il;Yuk, In-Soo;Yang, Sun-Choel;Park, Jog-Oh;Rhee, Seung-Wuh;Lee, Hyung-Mok;Matsumoto, Toshio
    • Bulletin of the Korean Space Science Society
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    • 2009.10a
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    • pp.44.3-44.3
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    • 2009
  • The MIRIS (Multi-purpose IR Imaging System), as the main payload of Science and Technology Satellite-3 (STSAT-3), is being developed by KASI in collaboration with several institutes for wide-field space observation in near IR wavelength. The Engineering Qualification Model (EQM) of MIRIS has been designed and fabricated in the laboratory. The system performance tests have been made including opto-mechanics, vibration test, thermal-vacuum environmental test and passive cooling test down to 200K. Most of the performance test results were satisfied with system requirements. The results of MIRIS performance tests have been presented at Critical Design Review (CDR) on September 2009. Several revisions were also recommended for Flight Model (FM) design, and detailed plan to develop FM of MIRIS is discussed in this paper.

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Development of a Reduction Algorithm of GEO Satellite Optical Observation Data for Optical Wide Field Patrol (OWL)

  • Park, Sun-youp;Choi, Jin;Jo, Jung Hyun;Son, Ju Young;Park, Yung-Sik;Yim, Hong-Suh;Moon, Hong-Kyu;Bae, Young-Ho;Choi, Young-Jun;Park, Jang-Hyun
    • Journal of Astronomy and Space Sciences
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    • v.32 no.3
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    • pp.201-207
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    • 2015
  • An algorithm to automatically extract coordinate and time information from optical observation data of geostationary orbit satellites (GEO satellites) or geosynchronous orbit satellites (GOS satellites) is developed. The optical wide-field patrol system is capable of automatic observation using a pre-arranged schedule. Therefore, if this type of automatic analysis algorithm is available, daily unmanned monitoring of GEO satellites can be possible. For data acquisition for development, the COMS1 satellite was observed with 1-s exposure time and 1-m interval. The images were grouped and processed in terms of "action", and each action was composed of six or nine successive images. First, a reference image with the best quality in one action was selected. Next, the rest of the images in the action were geometrically transformed to fit in the horizontal coordinate system (expressed in azimuthal angle and elevation) of the reference image. Then, these images were median-combined to retain only the possible non-moving GEO candidates. By reverting the coordinate transformation of the positions of these GEO satellite candidates, the final coordinates could be calculated.