EGU24-18372, updated on 11 Mar 2024
https://doi.org/10.5194/egusphere-egu24-18372
EGU General Assembly 2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Robust Satellite Techniques for seismic prone area monitoring: recent achievements and future perspective toward a multi-parametric t‐DASH system

Roberto Colonna1,2, Carolina Filizzola3,2, Nicola Genzano4,2, Mariano Lisi5, Nicola Pergola3,2, and Valerio Tramutoli1,2
Roberto Colonna et al.
  • 1School of Engineering, University of Basilicata, Potenza, Italy
  • 2Space Technologies and Application Centre, Potenza, Italy
  • 3Institute of Methodologies for Environmental Analysis of the National Research Council, Tito Scalo (PZ), Italy
  • 4Department of Architecture, Built Environment and Construction Engineering, Politecnico di Milano, Milano, Italy
  • 5Centro di Geomorfologia Integrata per l'Area del Mediterraneo (CGIAM), Potenza, Italy

After more than 25 years of studies it is possible to draw a balance of the efforts, based on the application of Robust Satellite Techniques to long-term satellite TIR (Thermal InfraRed) radiances, to identify (isolating them from all the others possible sources) those anomalies (in the spatial/temporal domain) possibly associated to the occurrence of major earthquakes.

The results achieved by processing multi-annual (more than 10 years) time series of TIR satellite images collected in different continents and seismic regimes, showed that more than 67% of all identified (space-time persistent) anomalies occur in the pre-fixed space-time window around the occurrence time and location of earthquakes (M≥4), with a false positive rate smaller than 33%. Moreover, Molchan error diagram analysis gave a clear indication of non-casualty of such a correlation, in comparison with the random guess function.

Here, we will critically discuss the results up to now achieved by applying long-term RST analyses in different part of the world. Moreover, we will also discuss the common and/or peculiar elements of success/failure respect to the possibility to build and implement a multi-parametric system for a time‐Dependent Assessment of Seismic Hazard (t‐DASH).

How to cite: Colonna, R., Filizzola, C., Genzano, N., Lisi, M., Pergola, N., and Tramutoli, V.: Robust Satellite Techniques for seismic prone area monitoring: recent achievements and future perspective toward a multi-parametric t‐DASH system, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-18372, https://doi.org/10.5194/egusphere-egu24-18372, 2024.