日本地球惑星科学連合2023年大会

講演情報

[E] オンラインポスター発表

セッション記号 P (宇宙惑星科学) » P-PS 惑星科学

[P-PS03] 太陽系小天体:太陽系の形成と進化における最新成果と今後の展望

2023年5月25日(木) 13:45 〜 15:15 オンラインポスターZoom会場 (1) (オンラインポスター)

コンビーナ:岡田 達明(宇宙航空研究開発機構宇宙科学研究所)、吉田 二美(産業医科大学)、荒川 創太(海洋研究開発機構)、深井 稜汰(宇宙航空研究開発機構)


現地ポスター発表開催日時 (2023/5/24 17:15-18:45)

13:45 〜 15:15

[PPS03-P10] 小惑星探査機はやぶさ2搭載中間赤外カメラの高次データプロダクトのデータアーカイブ

*荒井 武彦1出村 裕英3坂谷 尚哉2嶌生 有理2、千秋 博紀4神山 徹5関口 朋彦6、石崎 拓也2金丸 仁明7岡田 達明2田中 智2 (1.前橋工科大学、2.宇宙航空研究開発機構、3.会津大学、4.千葉工業大学、5.産業技術総合研究所、6.北海道教育大学、7.東京大学)

キーワード:はやぶさ2、リュウグウ、中間赤外カメラ、データアーカイブ

The Thermal Infrared Imager (TIR) onboard Hayabusa2 carried out thermographic observations of the asteroid 162173 Ryugu in 2018 and 2019 (Okada et al., Nature, 2020). TIR precisely determined the brightness temperature of the Ryugu surface within the local areas of 0.5 x 0.5 degrees maps. Also, the thermal inertia, which depended on the surface physical properties of the Ryugu surface, was determined (Shimaki et al., Icarus, 2020). The observed data have been published on the web page of PDS/NASA and DATRS/JAXA. The observed raw images (Level-1) and the observed brightness temperature images (Level-2) with the calibration look-up tables are available. The projection maps of the brightness temperature Level-3 products onto the shape model of Ryugu using a geometric correction method (Arai et al., EPS, 2021) are prepared. The pointing accuracy was less than 10 m at the altitude of 10 km observations. The seasonal thermal changes on the Ryugu surface are found in the maps. Also, the detailed map shows the low-temperature region of the surface due to the shadow of large boulders. There are, like permafrost regions, only irradiated from the thermal radiation of surroundings. More detailed maps using low-altitude observed images are prepared powered by the correction method of Kouyama et al. (Remote Sensing, 2017). Thermal inertia maps on the shape model of Ryugu (Level-4) are prepared. HEAT is the data analysis tool for TIR, developed by the University of Aizu (Endo et al., IEEE, 2017). HEAT derives the thermal inertia maps by comparing the observed temperature profiles with the database of the surface roughness model (Senshu et al., International Journal of Thermophysics, 2022). It calculated the 200,000 polygons for the surface of Ryugu and derived the thermal inertia and roughness parameter values for each polygon. The thermal inertia values are low and spatially homogeneous. It implies that the surface of Ryugu is globally porous.