Japan Geoscience Union Meeting 2025

Presentation information

[E] Poster

P (Space and Planetary Sciences ) » P-PS Planetary Sciences

[P-PS03] Small Solar System Bodies: New perspectives on the origin and evolution of the Solar System

Fri. May 30, 2025 5:15 PM - 7:15 PM Poster Hall (Exhibition Hall 7&8, Makuhari Messe)

convener:Sota Arakawa(Japan Agency for Marine-Earth Science and Technology), Tatsuaki Okada(Institute of Space and Astronautical Science, Japan Aerospace Exploration Agency), Fumi Yoshida(University of Occupational and Environmental Health, Japan), Ryota Fukai(Japan Aerospace Exploration Agency)


5:15 PM - 7:15 PM

[PPS03-P12] High Degree Products of Thermal Infrared Imager onboard Hayabusa2

*Takehiko Arai1, Hirohide Demura2, Tatsuaki Okada4, Satoshi Tanaka4, Naoya Sakatani4, Yuri Shimaki4, Hiroki Senshu3, Toru Kouyama5, Takuya Ishizaki4, Masanori Kanamaru7, Tomohiko Sekiguchi6 (1.Maebashi Institute of Technology, 2.The University of Aizu, 3.Chiba Institute of Technology, 4.Japan Aerospace Exploration Agency, 5.National Institute of Advanced Industrial Science and Technology, 6.Hokkaido University of Education, 7.The University of Tokyo)

Keywords:Hayabusa2, Thermal Infrared Imager, Thermal Inertia, High Degree Products

The thermal infrared imager (TIR) onboard the Hayabusa2 spacecraft observed the surface temperature of asteroid 162173 Ryugu during 2018 and 2019. TIR derives the surface thermophysical properties and reveals the surface thermal evolution and the origin of their accumulation process. Thermal inertia is a key index for estimating surface thermophysical properties. This index is critical for evaluating the surface's physical condition, such as density and porosity. However, surface roughness under the spatial resolution of TIR confuses the estimation of the thermal inertia. The observed surface brightness temperature of TIR was globally flattened due to the roughness. Therefore, we need a surface thermophysical model, including the roughness model, to derive the accurate thermal inertia. We used the shape model of Ryugu with Gaussian random numbers as the roughness model. We compared the observed image with the anticipated images derived from the thermophysical model with roughness and determined the thermal inertia maps. In this study, we introduce the high-degree products of the TIR data, such as shape model projection maps (Level 3) and thermal inertia maps (Level 4).