2023 Fiscal Year Final Research Report
Use of digital camera images from ISS for scientific studies of aurorae
| Project/Area Number |
20K20940
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| Research Category |
Grant-in-Aid for Challenging Research (Exploratory)
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| Allocation Type | Multi-year Fund |
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| Review Section |
Medium-sized Section 17:Earth and planetary science and related fields
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| Research Institution | The University of Electro-Communications |
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Principal Investigator |
Hosokawa Keisuke 電気通信大学, 大学院情報理工学研究科, 教授 (80361830)
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| Co-Investigator(Kenkyū-buntansha) |
野澤 悟徳 名古屋大学, 宇宙地球環境研究所, 准教授 (60212130)
津田 卓雄 電気通信大学, 大学院情報理工学研究科, 准教授 (90444421)
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| Project Period (FY) |
2020-07-30 – 2024-03-31
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| Keywords | オーロラ / 国際宇宙ステーション |
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| Outline of Final Research Achievements |
We mapped the digital camera images from the ISS onto geographic coordinates and confirmed that the mapping accuracy is sufficient for conducting aurora science by comparing it with ground-based cameras in the vicinity of the observation area. Additionally, by using the emission intensity ratio of the RGB channels obtained from the digital camera observations from the ISS, we estimated the energy of auroral electrons and demonstrated that higher energy electrons are precipitating during the periods when the aurora brightened. Furthermore, we successfully implemented a system for high temporal resolution observations that only operate when auroras occur by developing an automatic aurora detection system using machine learning.
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| Free Research Field |
超高層大気物理学
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| Academic Significance and Societal Importance of the Research Achievements |
ISSからのデジタルカメラ画像が，ディスクリートオーロラのような微細な空間構造を有するオーロラだけでなく，脈動オーロラのような激しく時間変化するオーロラにも適用可能であることを示した．この結果は，デジタルカメラ画像のオーロラ科学への活用の意義を示すものとして評価されている．また，深層学習を用いてオーロラの出現状況や形態などを自動的に判定するシステムの開発に成功し，市民サイエンスへの応用が可能であることを示した．
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