Data Processing and Modeling on Volcanic and Seismic Areas
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Earth Sciences".
Deadline for manuscript submissions: closed (31 March 2021) | Viewed by 18057
Special Issue Editors
Interests: ground deformation; volcano geodesy; volcano-tectonics; volcanology; active tectonics
Special Issues, Collections and Topics in MDPI journals
Interests: time series analysis; signal processing; data modelling; inverse problems; pattern recognition; machine learning; volcano geodesy; volcano modelling
Special Issue Information
Dear Colleagues,
The recent growth of multi-sensor monitoring networks and satellites with the exponential increase of the amount of spatiotemporal data has revealed an increasingly compelling need to develop data processing, analysis, and modeling tools capable of handling large amounts of data and synthesizing the useful information.
Data processing, analysis, and modeling techniques may allow the identification of significant information to be integrated into volcanic/seismological monitoring systems. The new developed technology is expected to improve operational hazard detection, alerting, and management capabilities.
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 for developing new tools and methods able to integrate and process different information. Emergencies and crises evidence how the rapid response in processing all the available information is also crucial in helping decision makers to mitigate the risk to the exposed population. Prompt data analysis requires a variety of tools, such as event detection, phenomenon recognition and classification, hazard assessment, and episode forecast.
This Special Issue intends to collect new ideas and contributions at the frontier between the fields of data handling, processing, and modeling for volcanic and seismic systems. The primary aspects of any contribution should be novelty and originality.
Specific topics of interest for this Special Issue include, but are not limited to:
- Modeling volcano and earthquake deformation;
- Spatiotemporal data analysis;
- Tools for the diagnosis of unrest patterns using statistical analytics and current advancement of machine learning techniques;
- Automatic procedures for data processing, standardization, and rapid integration into a centralized monitoring platform;
- Anomaly detection and precursor recognition in data.
Dr. Alessandro Bonforte
Dr. Flavio Cannavò
Guest Editors
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Keywords
- data management
- data handling
- archiving
- processing
- modelling
- big data
- time series
- integration
- forecasting
- machine learning
- data fusion
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