Reprint
Remote Sensing of Volcanic Processes and Risk
Edited by
March 2021
430 pages
- ISBN978-3-0365-0126-0 (Hardback)
- ISBN978-3-0365-0127-7 (PDF)
This book is a reprint of the Special Issue Remote Sensing of Volcanic Processes and Risk that was published in
Engineering
Environmental & Earth Sciences
Summary
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.
Format
- Hardback
License
© 2022 by the authors; CC BY-NC-ND license
Keywords
volcanic thermal anomalies; change detection; Villarrica Volcano; small satellites; FireBIRD; TET-1; gas emission monitoring; X-band InSAR; scanning Mini-DOAS; Multi-GAS; volcanic gases; precipitable water vapor; radar path delay; Láscar volcano; Mt. Etna; multi-platform satellite observations; RSTVOLC; Stromboli volcano; landslides; effusive activity; Ground-Based InSAR; infrared live cam; seismic monitoring; PLEIADES; Digital Elevation Models; optical sensors; volcano remote sensing; volcano deformation; SAR interferometry; post-unrest deflation; inversion modelling; Santorini; hyperspectral; FENIX; lava field; SMACC; LSMA; volcano monitoring; thermal imaging; time series; Seasonal-Trend Decomposition; heat flux; emissivity; lava flow modeling; remote sensing; volcano monitoring; volcanic eruption interpretation; eruption forecasting; MSG SEVIRI; wavelet; remote sensing; thermal measurements; lava fountain; lava flow; Mt.Etna; eruptive style; Timanfaya volcanic area; HDR geothermal systems; GPR; EMI; magnetic anomalies; seasonality; volcano deformation; lahars hazard; magma accumulation; pyroclastic flows; ash plumes; volcanic cloud; Landsat 8; elevation model; Volcán de Colima; lava flow volume estimation; pyroclastic flows; SPOT; EO-1 ALI; MODIS data; SENTINEL-2 images; infrasonic activity; open-vent activity; fissural eruption; long- and short-term precursors; SO2 fluxes; UV Camera; Etna Volcano; explosive basaltic volcanism; Bezymianny; volcano deformation; monitoring; lava dome; inflation; SAR imaging; radar pixel offsets; acoustic infrasound; volcanic emissions; ground-based remote sensing; volcano monitoring; Sentinel missions; Convolutional Neural Network (CNN); Synthetic Aperture Radar (SAR) imaging; InSAR processing; infrared remote sensing; SO2 gas emission; satellite remote sensing; volcano monitoring; ash fall; lava flows; pyroclastic density currents; mapping; volcanic hazard; volcano monitoring; gas emissions; magma accumulation; edifice growth and collapse; volcanic unrest; lava flows; pyroclastic flows; ash plumes; thermal anomalies; volcano deformation