|
|
|
|
| LEADER |
05981nma a2201585 u 4500 |
| 001 |
EB001992360 |
| 003 |
EBX01000000000000001155262 |
| 005 |
00000000000000.0 |
| 007 |
cr||||||||||||||||||||| |
| 008 |
210512 ||| eng |
| 020 |
|
|
|a 9783036501260
|
| 020 |
|
|
|a 9783036501277
|
| 020 |
|
|
|a books978-3-0365-0127-7
|
| 100 |
1 |
|
|a Cigna, Francesca
|
| 245 |
0 |
0 |
|a Remote Sensing of Volcanic Processes and Risk
|h Elektronische Ressource
|
| 260 |
|
|
|a Basel, Switzerland
|b MDPI - Multidisciplinary Digital Publishing Institute
|c 2021
|
| 300 |
|
|
|a 1 electronic resource (430 p.)
|
| 653 |
|
|
|a optical sensors
|
| 653 |
|
|
|a Digital Elevation Models
|
| 653 |
|
|
|a inversion modelling
|
| 653 |
|
|
|a seismic monitoring
|
| 653 |
|
|
|a Convolutional Neural Network (CNN)
|
| 653 |
|
|
|a Synthetic Aperture Radar (SAR) imaging
|
| 653 |
|
|
|a lava flow
|
| 653 |
|
|
|a MSG SEVIRI
|
| 653 |
|
|
|a hyperspectral
|
| 653 |
|
|
|a landslides
|
| 653 |
|
|
|a SO2 fluxes
|
| 653 |
|
|
|a post-unrest deflation
|
| 653 |
|
|
|a volcanic unrest
|
| 653 |
|
|
|a radar path delay
|
| 653 |
|
|
|a volcanic gases
|
| 653 |
|
|
|a multi-platform satellite observations
|
| 653 |
|
|
|a lava field
|
| 653 |
|
|
|a emissivity
|
| 653 |
|
|
|a PLEIADES
|
| 653 |
|
|
|a radar pixel offsets
|
| 653 |
|
|
|a thermal anomalies
|
| 653 |
|
|
|a wavelet
|
| 653 |
|
|
|a SPOT
|
| 653 |
|
|
|a SMACC
|
| 653 |
|
|
|a precipitable water vapor
|
| 653 |
|
|
|a Landsat 8
|
| 653 |
|
|
|a volcano remote sensing
|
| 653 |
|
|
|a SO2 gas emission
|
| 653 |
|
|
|a lava flow modeling
|
| 653 |
|
|
|a thermal imaging
|
| 653 |
|
|
|a MODIS data
|
| 653 |
|
|
|a edifice growth and collapse
|
| 653 |
|
|
|a volcanic cloud
|
| 653 |
|
|
|a FireBIRD
|
| 653 |
|
|
|a volcanic thermal anomalies
|
| 653 |
|
|
|a infrared live cam
|
| 653 |
|
|
|a Stromboli volcano
|
| 653 |
|
|
|a X-band InSAR
|
| 653 |
|
|
|a ash plumes
|
| 653 |
|
|
|a lava fountain
|
| 653 |
|
|
|a pyroclastic density currents
|
| 653 |
|
|
|a Seasonal-Trend Decomposition
|
| 653 |
|
|
|a fissural eruption
|
| 653 |
|
|
|a lahars hazard
|
| 653 |
|
|
|a EMI
|
| 653 |
|
|
|a acoustic infrasound
|
| 653 |
|
|
|a Research and information: general / bicssc
|
| 653 |
|
|
|a change detection
|
| 653 |
|
|
|a Mt.Etna
|
| 653 |
|
|
|a satellite remote sensing
|
| 653 |
|
|
|a volcanic hazard
|
| 653 |
|
|
|a TET-1
|
| 653 |
|
|
|a gas emission monitoring
|
| 653 |
|
|
|a ash fall
|
| 653 |
|
|
|a Láscar volcano
|
| 653 |
|
|
|a volcano deformation
|
| 653 |
|
|
|a Sentinel missions
|
| 653 |
|
|
|a volcanic emissions
|
| 653 |
|
|
|a Volcán de Colima
|
| 653 |
|
|
|a mapping
|
| 653 |
|
|
|a long- and short-term precursors
|
| 653 |
|
|
|a InSAR processing
|
| 653 |
|
|
|a lava flows
|
| 653 |
|
|
|a UV Camera
|
| 653 |
|
|
|a eruption forecasting
|
| 653 |
|
|
|a elevation model
|
| 653 |
|
|
|a SAR imaging
|
| 653 |
|
|
|a FENIX
|
| 653 |
|
|
|a LSMA
|
| 653 |
|
|
|a monitoring
|
| 653 |
|
|
|a time series
|
| 653 |
|
|
|a RSTVOLC
|
| 653 |
|
|
|a Timanfaya volcanic area
|
| 653 |
|
|
|a scanning Mini-DOAS
|
| 653 |
|
|
|a GPR
|
| 653 |
|
|
|a SAR interferometry
|
| 653 |
|
|
|a gas emissions
|
| 653 |
|
|
|a heat flux
|
| 653 |
|
|
|a small satellites
|
| 653 |
|
|
|a volcanic eruption interpretation
|
| 653 |
|
|
|a Mt. Etna
|
| 653 |
|
|
|a open-vent activity
|
| 653 |
|
|
|a Ground-Based InSAR
|
| 653 |
|
|
|a ground-based remote sensing
|
| 653 |
|
|
|a HDR geothermal systems
|
| 653 |
|
|
|a seasonality
|
| 653 |
|
|
|a infrared remote sensing
|
| 653 |
|
|
|a lava dome
|
| 653 |
|
|
|a effusive activity
|
| 653 |
|
|
|a Multi-GAS
|
| 653 |
|
|
|a infrasonic activity
|
| 653 |
|
|
|a explosive basaltic volcanism
|
| 653 |
|
|
|a remote sensing
|
| 653 |
|
|
|a lava flow volume estimation
|
| 653 |
|
|
|a pyroclastic flows
|
| 653 |
|
|
|a EO-1 ALI
|
| 653 |
|
|
|a Bezymianny
|
| 653 |
|
|
|a magma accumulation
|
| 653 |
|
|
|a Santorini
|
| 653 |
|
|
|a magnetic anomalies
|
| 653 |
|
|
|a inflation
|
| 653 |
|
|
|a SENTINEL-2 images
|
| 653 |
|
|
|a thermal measurements
|
| 653 |
|
|
|a volcano monitoring
|
| 653 |
|
|
|a eruptive style
|
| 653 |
|
|
|a Villarrica Volcano
|
| 653 |
|
|
|a Etna Volcano
|
| 700 |
1 |
|
|a Tapete, Deodato
|
| 700 |
1 |
|
|a Lu, Zhong
|
| 700 |
1 |
|
|a Ebmeier, Susanna K.
|
| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
|
| 989 |
|
|
|b DOAB
|a Directory of Open Access Books
|
| 500 |
|
|
|a Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
|
| 024 |
8 |
|
|a 10.3390/books978-3-0365-0127-7
|
| 856 |
4 |
2 |
|u https://directory.doabooks.org/handle/20.500.12854/68488
|z DOAB: description of the publication
|
| 856 |
4 |
0 |
|u https://www.mdpi.com/books/pdfview/book/3508
|7 0
|x Verlag
|3 Volltext
|
| 082 |
0 |
|
|a 000
|
| 520 |
|
|
|a Remote sensing data and methods are increasingly being implemented in assessments of volcanic processes and risk. This happens thanks to their capability to provide a spectrum of observation and measurement opportunities to accurately sense the dynamics, magnitude, frequency, and impacts of volcanic activity. This book includes research papers on the use of satellite, aerial, and ground-based remote sensing to detect thermal features and anomalies, investigate lava and pyroclastic flows, predict the flow path of lahars, measure gas emissions and plumes, and estimate ground deformation. The multi-disciplinary character of the approaches employed for volcano monitoring and the combination of a variety of sensor types, platforms, and methods that come out from the papers testify to the current scientific and technology trends toward multi-data and multi-sensor monitoring solutions. The added value of the papers lies in the demonstration of how remote sensing can improve our knowledge of volcanoes that pose a threat to local communities; back-analysis and critical revision of recent volcanic eruptions and unrest periods; and improvement of modeling and prediction methods. Therefore, the selected case studies also demonstrate the societal impact that this scientific discipline can potentially have on volcanic hazard and risk management.
|