Japan Geoscience Union Meeting 2021

Presentation information

[E] Oral

M (Multidisciplinary and Interdisciplinary) » M-IS Intersection

[M-IS08] Interdisciplinary studies on pre-earthquake processes

Sun. Jun 6, 2021 3:30 PM - 5:00 PM Ch.22 (Zoom Room 22)

convener:Katsumi Hattori(Department of Earth Sciences, Graduate School of Science, Chiba University), Dimitar Ouzounov(Center of Excellence in Earth Systems Modeling & Observations (CEESMO) , Schmid College of Science & Technology Chapman University, Orange, California, USA), Jann-Yenq LIU(Department of Space Science and Engineering, National Central University, Taiwan), Qinghua Huang(Peking University), Chairperson:Jann-Yenq LIU(Department of Space Science and Engineering, National Central University, Taiwan), Qinghua Huang(Peking University)

3:50 PM - 4:10 PM

[MIS08-14] A focus on the capability of the RST-based satellite TIR anomalies for the short-term seismic hazard assessment in Japan

★Invited Papers

*Nicola Genzano1, Roberto Colonna1, Carolina Filizzola2, Katsumi Hattori3,4, Mariano Lisi2, Nicola Pergola2, Valerio Tramutoli1 (1.School of Engineering, University of Basilicata, Via dell’ Ateneo Lucano, 10, 85100 Potenza, Italy, 2.National Research Council, Institute of Methodologies for Environmental Analysis, C. da S. Loja, 85050 Tito Scalo (Pz), Italy, 3.Graduate School of Science, Chiba University, Yayoi 1-33, Inage, Chiba, 263-8522, Japan, 4.Center for Environmental Remote Sensing, Chiba University, Yayoi 1-33, Inage, Chiba, 263-8522, Japan)

Keywords:Earthquakes, Satellite thermal anomalies, Seismic hazard, Statistical analysis, Multi-parametric system, Japan

With the aim to evaluate the potentiality of the parameter “RST-based satellite TIR anomalies” in a space-time relation with large earthquakes (M>=6) occurred in Japan from 2005 to 2015, we have performed a long-term statistical correlation analysis (see Genzano et al., 2021).
To accomplish this purpose, we use the Robust Satellite Technique (RST; Tramutoli 1998, 2007), and the Robust Estimator TIR Anomalies (RETIRA; Tramutoli et al., 2005) index, to identify Significant Sequences of TIR Anomalies (SSTAs) over 11 years of night-time satellite images acquired by MTSAT satellites over Japan.
By applying empirical spatial-temporal rules, which are established also taking in account the physical models up to now proposed to explain seismic TIR anomalies appearances, the performed long-term correlation analysis put in relief that a non-casual relation exists between satellite TIR anomalies and the occurrence of the earthquakes.
Here, we summarize the achieved results and discuss them in the perspective of a multi-parameter system, which could improve our present knowledge on the earthquake-related processes and increase our capacity to assess the seismic hazard in the medium-short term (months to days).
Moreover, we will discuss the improvements to the RST approach, recently introduced, aimed to minimize the proliferation of the false positives (i.e. TIR anomalies independent to the seismic sources, but due to other causes, e.g. meteorological factors), as well as the exportation of the RST/RETIRA approach/index on the radiances collected by the next-generation satellite sensor Himawari-8/AHI.

Acknowledgments
This study was partly supported by joint research program of Center for Environmental Remote Sensing of Chiba University (Japan).

References
Genzano, N., C. Filizzola, K. Hattori, N. Pergola, and V. Tramutoli (2021), Statistical correlation analysis between thermal infrared anomalies observed from MTSATs and large earthquakes occurred in Japan (2005 - 2015). Journal of Geophysical Research: Solid Earth, 126, e2020JB020108. https://doi.org/10.1029/2020JB020108
Tramutoli, V. (1998), Robust AVHRR Techniques (RAT) for Environmental Monitoring: theory and applications, in Proceedings of SPIE, vol. 3496, edited by E. Zilioli, pp. 101–113, doi: 10.1117/12.332714
Tramutoli, V. (2007), Robust Satellite Techniques (RST) for Natural and Environmental Hazards Monitoring and Mitigation: Theory and Applications, in 2007 International Workshop on the Analysis of Multi-temporal Remote Sensing Images, pp. 1–6, IEEE. doi: 10.1109/MULTITEMP.
Tramutoli, V., V. Cuomo, C. Filizzola, N. Pergola, and C. Pietrapertosa (2005), Assessing the potential of thermal infrared satellite surveys for monitoring seismically active areas: The case of Kocaeli (Izmit) earthquake, August 17, 1999, Remote Sens. Environ., 96(3–4), 409–426, doi:10.1016/j.rse.2005.04.006.