*Takehiko Arai1, Hirohide Demura3, Naoya Sakatani2, Yuri Shimaki2, Hiroki Senshu4, Toru Kouyama5, Tomohiko Sekiguchi6, Takuya Ishizaki2, Masanori Kanamaru7, Tatsuaki Okada2, Satoshi Tanaka2
(1.Maebashi Institute of Technology, 2.Japan Aerospace Exploration Agency, 3.The University of Aizu, 4.Chiba Institute of Technology, 5.National Institute of Advanced Industrial Science and Technology, 6.Hokkaido University of Education, 7.The University of Tokyo)
Keywords:Hayabusa2, Ryugu, Thermal Infrared Imager, Data Archieve
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.