| Presentation No |
Title |
Presenter |
|
SGD02-P01
|
Regionally augmented real-time PPP-AR framework for multi-time scale deformation monitoring across Japan
|
Takamatsu Naofumi
|
|
SGD02-P02
|
Simultaneous Inversion of Coseismic Fault and Slip in Heterogeneous Crustal Structures Using Physics-Informed Deep Learning
|
Tomohisa Okazaki
|
|
SGD02-P03
|
PINN-based short-term forecasting of fault slip evolution during the 2010 slow slip event in the Bungo Channel, Japan
|
Masayuki Kano
|
|
SGD02-P04
|
Toward Inversion of Moment Tensor Distributions using Physics-Informed Neural Networks
|
Masayoshi Someya
|
|
SGD02-P05
|
Towards the Integration of Teleseismic and SAR Inversions: Developing a Dynamic Model of the Seismic Source
|
Andrea Antonioli
|
|
SGD02-P06
|
Development of deformation source estimation system at MRI
|
Satoshi Okuyama
|
|
SGD02-P07
|
Estimation of the slip distribution of long-term slow slip along the Nankai Trough based on objective detection method of unsteady displacement using GNSS data.
|
Takahiro Tsuyuki
|
|
SGD02-P08
|
Considerations on the Slip Direction of Slow Slip Events
|
Tadafumi Ochi
|
|
SGD02-P09
|
Long-term SSEs along the Nankai Trough Detected by GEONET Since 2018
|
Shinzaburo Ozawa
|
|
SGD02-P10
|
An Attempt to Detect Transient Crustal Deformation from Ocean Bottom Pressure Gauge Data Using Principal Component Analysis
|
Tomoki Yamada
|
|
SGD02-P11
|
Geodetic-Based Estimation of Slip Rate on the Sumba Subduction Segment and its Implications for Earthquake Potential in Bali and West Nusa Tenggara, Indonesia
|
Rio Raharja
|
|
SGD02-P12
|
Slip deficit along the Nankai subduction zone estimated from GNSS and InSAR observations
|
Kohei Shimotsuma
|
|
SGD02-P13
|
Estimating slip deficit rate distribution along the southwestern Kuril trench using on- and offshore geodetic data
|
Takeru Wada
|
|
SGD02-P14
|
Inter-plate coupling state from the southern to southwestern Ryukyu Trench inferred GNSS-A observations
|
Atsuhiro Shibata
|
|
SGD02-P15
|
An attempt to estimate slip deficit rates along inland faults using GNSS data in Japan
|
Go Hirako
|
|
SGD02-P16
|
Quantifying the spatial and temporal extent of postseismic viscoelastic deformation for past earthquakes in the Japanese Islands
|
Dhanya Thomas
|
|
SGD02-P17
|
Joint Geodetic Coseismic Slip Inversion for the 2025 Mw 8.8 Kamchatka Earthquake Using a 3D Spherical Earth Model
|
Kai Wang
|
|
SGD02-P18
|
Geodetic modeling of the 2024 MW 7.0 Wushi earthquake and contrasting aftershocks (MW 5.7-5.8) confirming stressed fault terminations in NW China
|
Daniele Cheloni
|
|
SGD02-P19
|
Comparative analysis of continental extension in half-graben systems: the 2016 Mw 6.6 Mt. Vettore (Italy) and 2025 Mw 7.0 Dingri (Tibet) earthquakes
|
Stefano Gori
|
|
SGD02-P20
|
InSAR and GNSS analysis of the postseismic deformation of the 2024 Noto Peninsula earthquake
|
Kei Hatakeyama
|
|
SGD02-P21
|
Deformation Monitoring of Kanlaon Volcano, Philippines, using ALOS-2 InSAR: 2020-2025
|
Robjunelieaaa Lim
|
|
SGD02-P22
|
Observational study of ground tilt induced by the pressure wave from the 2022 Tonga volcanic eruption
|
Fujihisa Yokose
|