Reprint

Data Processing and Modeling on Volcanic and Seismic Areas

Edited by
June 2022
140 pages
  • ISBN978-3-0365-3853-2 (Hardback)
  • ISBN978-3-0365-3854-9 (PDF)

This is a Reprint of the Special Issue Data Processing and Modeling on Volcanic and Seismic Areas that was published in

Biology & Life Sciences
Chemistry & Materials Science
Computer Science & Mathematics
Engineering
Environmental & Earth Sciences
Physical Sciences
Summary

This special volume aims to collecg new ideas and contributions at the frontier between the fields of data handling, processing and modeling for volcanic and seismic systems. Technological evolution, as well as the increasing availability of new sensors and platforms, and freely available data, pose a new challenge to the scientific community in the development new tools and methods that can integrate and process different information. The recent growth in multi-sensor monitoring networks and satellites, along with the exponential increase in the spatiotemporal data, has revealed an increasingly compelling need to develop data processing, analysis and modeling tools. Data processing, analysis and modeling techniques may allow significant information to be identified and integrated into volcanic/seismological monitoring systems. The newly developed technology is expected to improve operational hazard detection, alerting, and management abilities.

Format
  • Hardback
License and Copyright
© 2022 by the authors; CC BY-NC-ND license
Keywords
seismic swarm; relocated aftershocks; transition zone; b value temporal variation; central Ionian Islands (Greece); volcanic eruptions; volcanic plumes; CO2 flux; DIAL-Lidar; data processing techniques; SAR; InSAR; ground deformation; Sentinel-1; volcano monitoring; GNSS; seismicity; ground deformation; slope instability; MT-InSAR; volcanoes; ASTER; Robust Satellite Techniques; Google Earth Engine; volcanic mounds; seismic time and depth processing; MVA; CO2 storage; volcano geodesy; multidisciplinary monitoring; paroxysms; lava fountain; volcanic eruption; modeling; tilt; GPS; InSAR; ground deformation; n/a