Automatic Arrival Time Picking for DAS Observation Data Using Machine Learning Models with Seismic Waveform Feature Parameters

Shigeki Horiuchi

Presentation information

[E] Oral

S (Solid Earth Sciences ) » S-TT Technology & Techniques

[S-TT48] Advancing Earth Science through Fiber Optic Sensing Techniques and Integrated Analysis

Thu. May 28, 2026 3:30 PM - 5:00 PM Convention Hall (CH-A) (International Conference Hall, Makuhari Messe)

Chairperson:Araki Eiichiro(Japan Agency for Marine-Earth Science and Technology), Emoto Kentaro(Graduate School of Science, Kyushu University)

4:00 PM - 4:15 PM

[STT48-09] Automatic Arrival Time Picking for DAS Observation Data Using Machine Learning Models with Seismic Waveform Feature Parameters

*Shigeki Horiuchi¹, Masanao Shinohara⁴, Tadakatsu Sato¹, Yuko Sato¹, Tony Smits², Minoru Yoshida², Hiroyuki Fujiwara³ (1. Home Seismometer Corporation, 2. Hakusan Corporation, 3. NIED, 4. ERI)

Keywords:DAS, Automatic arrival time picking, Machine learning, seismic waveform feature parameters

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