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220822 ||| eng |
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|a books978-3-0365-3854-9
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|a 9783036538549
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|a 9783036538532
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|a Bonforte, Alessandro
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245 |
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|a Data Processing and Modeling on Volcanic and Seismic Areas
|h Elektronische Ressource
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260 |
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|a Basel
|b MDPI - Multidisciplinary Digital Publishing Institute
|c 2022
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300 |
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|a 1 electronic resource (140 p.)
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653 |
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|a GPS
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653 |
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|a CO2 storage
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653 |
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|a DIAL-Lidar
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653 |
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|a central Ionian Islands (Greece)
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653 |
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|a relocated aftershocks
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653 |
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|a b value temporal variation
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653 |
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|a n/a
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653 |
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|a ground deformation
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653 |
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|a volcanic eruptions
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653 |
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|a ASTER
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653 |
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|a slope instability
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653 |
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|a InSAR
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653 |
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|a Technology: general issues / bicssc
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653 |
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|a volcanic eruption
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653 |
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|a modeling
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653 |
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|a volcanoes
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653 |
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|a Robust Satellite Techniques
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653 |
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|a data processing techniques
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653 |
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|a seismic time and depth processing
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653 |
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|a transition zone
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653 |
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|a paroxysms
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653 |
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|a Environmental science, engineering and technology / bicssc
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653 |
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|a Google Earth Engine
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653 |
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|a GNSS
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653 |
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|a MVA
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653 |
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|a Sentinel-1
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653 |
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|a volcano geodesy
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653 |
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|a multidisciplinary monitoring
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653 |
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|a volcanic mounds
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653 |
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|a lava fountain
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653 |
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|a volcanic plumes
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653 |
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|a CO2 flux
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653 |
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|a SAR
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653 |
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|a volcano monitoring
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653 |
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|a MT-InSAR
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653 |
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|a tilt
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653 |
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|a seismic swarm
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653 |
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|a seismicity
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700 |
1 |
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|a Cannavò, Flavio
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700 |
1 |
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|a Bonforte, Alessandro
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700 |
1 |
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|a Cannavò, Flavio
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041 |
0 |
7 |
|a eng
|2 ISO 639-2
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989 |
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|b DOAB
|a Directory of Open Access Books
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500 |
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|a Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
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5 |
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|a 10.3390/books978-3-0365-3854-9
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856 |
4 |
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|u https://www.mdpi.com/books/pdfview/book/5619
|7 0
|x Verlag
|3 Volltext
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856 |
4 |
2 |
|u https://directory.doabooks.org/handle/20.500.12854/87431
|z DOAB: description of the publication
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|a 363
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|a 700
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|a 600
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|a 620
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|a 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.
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