Development of Geo-KOMPSAT-2A Algorithm for Sea-Ice Detection Using Himawari-8/AHI Data
Sea ice is an important meteorological factor affecting the global climate system, but it is difficult to observe in sea ice ground truth data because of its location mainly at high latitudes and in polar regions. Accordingly, sea-ice detection research has been actively conducted using satellites,...
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ftdoajarticles:oai:doaj.org/article:30d8cbe18c234defbbf2cd733893a56a 2023-05-15T17:52:42+02:00 Development of Geo-KOMPSAT-2A Algorithm for Sea-Ice Detection Using Himawari-8/AHI Data Donghyun Jin Sung-Rae Chung Kyeong-Sang Lee Minji Seo Sungwon Choi Noh-Hun Seong Daeseong Jung Suyoung Sim Jinsoo Kim Kyung-Soo Han 2020-07-01T00:00:00Z https://doi.org/10.3390/rs12142262 https://doaj.org/article/30d8cbe18c234defbbf2cd733893a56a EN eng MDPI AG https://www.mdpi.com/2072-4292/12/14/2262 https://doaj.org/toc/2072-4292 doi:10.3390/rs12142262 2072-4292 https://doaj.org/article/30d8cbe18c234defbbf2cd733893a56a Remote Sensing, Vol 12, Iss 2262, p 2262 (2020) geostationary satellites GK-2A AMI Himawari-8 AHI sea-ice detection algorithm the sea of Okhotsk Science Q article 2020 ftdoajarticles https://doi.org/10.3390/rs12142262 2022-12-31T12:48:50Z Sea ice is an important meteorological factor affecting the global climate system, but it is difficult to observe in sea ice ground truth data because of its location mainly at high latitudes and in polar regions. Accordingly, sea-ice detection research has been actively conducted using satellites, since the 1970s. Polar-orbiting and geostationary satellites are used for this purpose; notably, geostationary satellites are capable of real-time monitoring of specific regions. In this paper, we introduce the Geo-KOMPSAT-2A (GK-2A)/Advanced Meteorological Imager (AMI) sea-ice detection algorithm using Japan Meteorological Agency (JMA) Himawari-8/Advanced Himawari Imager (AHI) data as proxy data. The GK-2A/AMI, which is Korea Meteorological Administration (KMA)’s next-generation geostationary satellite launched in December 2018 and Himawari-8/AHI have optically similar channel data, and the observation area includes East Asia and the Western Pacific. The GK-2A/AMI sea-ice detection algorithm produces sea-ice data with a 10-min temporal resolution, a 2-km spatial resolution and sets the Okhotsk Sea and Bohai Sea, where the sea ice is distributed during the winter in the northern hemisphere. It used National Meteorological Satellite Center (NMSC) cloud mask as the preceding data and a dynamic threshold method instead of the static threshold method that is commonly performed in existing sea-ice detection studies. The dynamic threshold methods for sea-ice detection are dynamic wavelength warping (DWW) and IST 0 method. The DWW is a method for determining the similarity by comparing the pattern of reflectance change according to the wavelength of two satellite data. The IST 0 method detects sea ice by using the correlation between 11.2-μm brightness temperature ( BT 11.2 ) and brightness temperature difference (BTD) [ BT 11.2 – BT 12.3 ] according to ice surface temperature (IST). In addition, the GK-2A/AMI sea-ice detection algorithm reclassified the cloud area into sea ice using a simple test. A comparison of the ... Article in Journal/Newspaper okhotsk sea Sea ice Directory of Open Access Journals: DOAJ Articles Okhotsk Pacific Remote Sensing 12 14 2262 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
geostationary satellites GK-2A AMI Himawari-8 AHI sea-ice detection algorithm the sea of Okhotsk Science Q |
spellingShingle |
geostationary satellites GK-2A AMI Himawari-8 AHI sea-ice detection algorithm the sea of Okhotsk Science Q Donghyun Jin Sung-Rae Chung Kyeong-Sang Lee Minji Seo Sungwon Choi Noh-Hun Seong Daeseong Jung Suyoung Sim Jinsoo Kim Kyung-Soo Han Development of Geo-KOMPSAT-2A Algorithm for Sea-Ice Detection Using Himawari-8/AHI Data |
topic_facet |
geostationary satellites GK-2A AMI Himawari-8 AHI sea-ice detection algorithm the sea of Okhotsk Science Q |
description |
Sea ice is an important meteorological factor affecting the global climate system, but it is difficult to observe in sea ice ground truth data because of its location mainly at high latitudes and in polar regions. Accordingly, sea-ice detection research has been actively conducted using satellites, since the 1970s. Polar-orbiting and geostationary satellites are used for this purpose; notably, geostationary satellites are capable of real-time monitoring of specific regions. In this paper, we introduce the Geo-KOMPSAT-2A (GK-2A)/Advanced Meteorological Imager (AMI) sea-ice detection algorithm using Japan Meteorological Agency (JMA) Himawari-8/Advanced Himawari Imager (AHI) data as proxy data. The GK-2A/AMI, which is Korea Meteorological Administration (KMA)’s next-generation geostationary satellite launched in December 2018 and Himawari-8/AHI have optically similar channel data, and the observation area includes East Asia and the Western Pacific. The GK-2A/AMI sea-ice detection algorithm produces sea-ice data with a 10-min temporal resolution, a 2-km spatial resolution and sets the Okhotsk Sea and Bohai Sea, where the sea ice is distributed during the winter in the northern hemisphere. It used National Meteorological Satellite Center (NMSC) cloud mask as the preceding data and a dynamic threshold method instead of the static threshold method that is commonly performed in existing sea-ice detection studies. The dynamic threshold methods for sea-ice detection are dynamic wavelength warping (DWW) and IST 0 method. The DWW is a method for determining the similarity by comparing the pattern of reflectance change according to the wavelength of two satellite data. The IST 0 method detects sea ice by using the correlation between 11.2-μm brightness temperature ( BT 11.2 ) and brightness temperature difference (BTD) [ BT 11.2 – BT 12.3 ] according to ice surface temperature (IST). In addition, the GK-2A/AMI sea-ice detection algorithm reclassified the cloud area into sea ice using a simple test. A comparison of the ... |
format |
Article in Journal/Newspaper |
author |
Donghyun Jin Sung-Rae Chung Kyeong-Sang Lee Minji Seo Sungwon Choi Noh-Hun Seong Daeseong Jung Suyoung Sim Jinsoo Kim Kyung-Soo Han |
author_facet |
Donghyun Jin Sung-Rae Chung Kyeong-Sang Lee Minji Seo Sungwon Choi Noh-Hun Seong Daeseong Jung Suyoung Sim Jinsoo Kim Kyung-Soo Han |
author_sort |
Donghyun Jin |
title |
Development of Geo-KOMPSAT-2A Algorithm for Sea-Ice Detection Using Himawari-8/AHI Data |
title_short |
Development of Geo-KOMPSAT-2A Algorithm for Sea-Ice Detection Using Himawari-8/AHI Data |
title_full |
Development of Geo-KOMPSAT-2A Algorithm for Sea-Ice Detection Using Himawari-8/AHI Data |
title_fullStr |
Development of Geo-KOMPSAT-2A Algorithm for Sea-Ice Detection Using Himawari-8/AHI Data |
title_full_unstemmed |
Development of Geo-KOMPSAT-2A Algorithm for Sea-Ice Detection Using Himawari-8/AHI Data |
title_sort |
development of geo-kompsat-2a algorithm for sea-ice detection using himawari-8/ahi data |
publisher |
MDPI AG |
publishDate |
2020 |
url |
https://doi.org/10.3390/rs12142262 https://doaj.org/article/30d8cbe18c234defbbf2cd733893a56a |
geographic |
Okhotsk Pacific |
geographic_facet |
Okhotsk Pacific |
genre |
okhotsk sea Sea ice |
genre_facet |
okhotsk sea Sea ice |
op_source |
Remote Sensing, Vol 12, Iss 2262, p 2262 (2020) |
op_relation |
https://www.mdpi.com/2072-4292/12/14/2262 https://doaj.org/toc/2072-4292 doi:10.3390/rs12142262 2072-4292 https://doaj.org/article/30d8cbe18c234defbbf2cd733893a56a |
op_doi |
https://doi.org/10.3390/rs12142262 |
container_title |
Remote Sensing |
container_volume |
12 |
container_issue |
14 |
container_start_page |
2262 |
_version_ |
1766160405260926976 |