Retrieval of Atmospheric Variables Using geostationary satellite image over East Asia

  • Jong Sung Ha*
  • , Jong Min Yeom
  • , Kwon Ho Lee
  • *Corresponding author for this work

Research output: Contribution to conferenceConference paperpeer-review

Abstract

Aerosol optical thickness(AOT) and water vapor(WV) was retrieved using Geo-KOMSAT2A satellite(GK-2A, Geostationary Satellite) launched in 2018, and operated by the Meteorological Satellite Center in Korea. GK-2A is equipped with 16 bands, including 4 visible bands, and is taking pictures of the East Asia region every 2 minutes. We utilized visible, near infrared, and shortwave infrared bands on AOT and WV retrieval. These bands are simultaneously affected by atmospheric scattering and surface reflection, so the contribution of each element can be simulated using the atmospheric radiation transfer model(RTM model). The first is to generate Look-up Table using RTM model of SBDART(Santa Barbara DISORT Atmospheric Radiative Transfer), the second is the atmospheric correction reflectivity calculation process. The third, WV and AOT was retrieved, and the results were compared and verified with ground measurement data. Finally, atmospheric correction was experimentally performed for polar orbit satellite(KOMSAT 3, 3A) images using WV and AOT as input variables.

Original languageEnglish
Title of host publicationEarth Observing Systems XXVIII
EditorsXiaoxiong Xiong, Xingfa Gu, Jeffrey S. Czapla-Myers
PublisherSPIE
ISBN (Electronic)9781510665842
DOIs
StatePublished - 2023
EventEarth Observing Systems XXVIII 2023 - San Diego, United States
Duration: 2023.08.222023.08.24

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume12685
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceEarth Observing Systems XXVIII 2023
Country/TerritoryUnited States
CitySan Diego
Period23.08.2223.08.24

Keywords

  • Aerosol Optical Thickness
  • Geo-stationary Satellite
  • GK-2A
  • Water Vapor

Quacquarelli Symonds(QS) Subject Topics

  • Materials Science
  • Computer Science & Information Systems
  • Mathematics
  • Engineering - Electrical & Electronic
  • Engineering - Petroleum
  • Data Science
  • Physics & Astronomy

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