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Data Processing and Modeling on Volcanic and Seismic Areas



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Autore: Bonforte Alessandro Visualizza persona
Titolo: Data Processing and Modeling on Volcanic and Seismic Areas Visualizza cluster
Pubblicazione: Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica: 1 electronic resource (140 p.)
Soggetto topico: Technology: general issues
Environmental science, engineering & technology
Soggetto non controllato: 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
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
Persona (resp. second.): CannavòFlavio
BonforteAlessandro
Sommario/riassunto: 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.
Titolo autorizzato: Data Processing and Modeling on Volcanic and Seismic Areas  Visualizza cluster
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910580215203321
Lo trovi qui: Univ. Federico II
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