Mon. May 26, 2025 3:30 PM - 5:00 PM 105 (International Conference Hall, Makuhari Messe)

[J] Oral
| S (Solid Earth Sciences )
| S-CG Complex & General

[S-CG60] Driving Solid Earth Science through Machine Learning

convener:Hisahiko Kubo(National Research Institute for Earth Science and Disaster Resilience), Makoto Naoi(Hokkaido University), Keisuke Yano(The Institute of Statistical Mathematics), Yusuke Tanaka(Geospatial Information Authority of Japan), Chairperson:Yutaro Okada(International Research Institute of Disaster Science), Makoto Naoi(Hokkaido University)

Wed. May 28, 2025 10:45 AM - 12:15 PM 106 (International Conference Hall, Makuhari Messe)

[E] Oral
| S (Solid Earth Sciences )
| S-GD Geodesy

[S-GD01] Geodetic Advances in Crustal Dynamics and Environmental Change for Taiwan and Neighboring Regions

10:45 AM - 11:00 AM

[SGD01-07] A long-term slow slip event beneath the southern Ryukyu forearc revealed by 25 years of GNSS observations

★Invited Papers

*Chi-Hsien Tang^1,2, Ya-Ju Hsu², Yutaro Okada¹, Yusaku Ohta³, Takeshi Sagiya⁴, Pei-Ru Jian⁵, Yoshiaki Tamura⁶, Takaaki Jike⁶ (1.International Research Institute of Disaster Science, Tohoku University, 2.Institute of Earth Sciences, Academia Sinica, 3.Graduate School of Science, Tohoku University, 4.Disaster Mitigation Research Center, Nagoya University, 5.Department of Geosciences, National Taiwan University, 6.Mizusawa VLBI Observatory, National Astronomical Observatory of Japan)

Tue. May 27, 2025 1:45 PM - 3:15 PM International Conference Room (IC) (International Conference Hall, Makuhari Messe)

[E] Oral
| S (Solid Earth Sciences )
| S-CG Complex & General

[S-CG45] Science of slow-to-fast earthquakes

2:30 PM - 2:45 PM

[SCG45-28] Detection of slow slip events from continuous seismic waveforms in western Shikoku based on random forest model

*Kazuki Ohtake¹, Aitaro Kato¹, Yutaro Okada², Takuya NISHIMURA³ (1.Earthquake Research Institute, The University of Tokyo, 2.International Research Institute of Disaster Science, Tohoku University, 3.Disaster Prevention Research Institute, Kyoto University)

Mon. May 26, 2025 3:30 PM - 5:00 PM 105 (International Conference Hall, Makuhari Messe)

[J] Oral
| S (Solid Earth Sciences )
| S-CG Complex & General

[S-CG60] Driving Solid Earth Science through Machine Learning

4:30 PM - 4:45 PM

[SCG60-09] Methodological development of fault slip detection from GNSS using deep learning and application to western Shikoku

*Ryo Nakagawa¹, Yo Fukushima^1,2, Masayuki Kano¹, Keisuke Yano³, Yusuke Tanaka¹, Yutaro Okada², Kazuro Hirahara^4,5 (1.Graduate School of Science and Faculty of Science, Tohoku University, 2.International Research Institute of Disaster Science, Tohoku University, 3.Institute of Statistical Mathematics, 4.RIKEN, 5.Kagawa University)

4:45 PM - 5:00 PM

[SCG60-10] Attempt to extract three-dimensional displacement fields due to fault slip by deep learning technique using InSAR and GNSS data

*Yutaro Okada¹, Yo Fukushima¹ (1.International Research Institute of Disaster Science)

Mon. May 26, 2025 5:15 PM - 7:15 PM Poster Hall (Exhibition Hall 7&8, Makuhari Messe)

[J] Poster
| M (Multidisciplinary and Interdisciplinary)
| M-TT Technology & Techniques

[M-TT37] New Developments in Earth Science Explored by Dense GNSS Observation Networks

5:15 PM - 7:15 PM

[MTT37-P02] Preliminary analysis of common-mode errors at GNSS stations operated by SoftBank

*Yutaro Okada¹, Yusaku Ohta², Miku Ohtate², Yo Fukushima¹ (1.International Research Institute of Disaster Science, 2.Graduate School of Science, Tohoku University)

Yutaro Okada

Convener, Chairperson

[S-CG60] Driving Solid Earth Science through Machine Learning

Speaker, Author, Co-Author

[S-GD01] Geodetic Advances in Crustal Dynamics and Environmental Change for Taiwan and Neighboring Regions

[SGD01-07] A long-term slow slip event beneath the southern Ryukyu forearc revealed by 25 years of GNSS observations

★Invited Papers

[S-CG45] Science of slow-to-fast earthquakes

[SCG45-28] Detection of slow slip events from continuous seismic waveforms in western Shikoku based on random forest model

[S-CG60] Driving Solid Earth Science through Machine Learning

[SCG60-09] Methodological development of fault slip detection from GNSS using deep learning and application to western Shikoku

[SCG60-10] Attempt to extract three-dimensional displacement fields due to fault slip by deep learning technique using InSAR and GNSS data

[M-TT37] New Developments in Earth Science Explored by Dense GNSS Observation Networks

[MTT37-P02] Preliminary analysis of common-mode errors at GNSS stations operated by SoftBank