Special Issue "Assessment and Prediction of Volcano Hazard Using Remote Sensing"

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing in Geology, Geomorphology and Hydrology".

Deadline for manuscript submissions: 31 January 2022.

Special Issue Editors

Dr. Gaetana Ganci
E-Mail Website
Guest Editor
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione di Catania, Osservatorio Etneo, Piazza Roma 2, 95125 Catania, Italy
Interests: satellite remote sensing; data assimilation; volcanic hazard modeling
Special Issues and Collections in MDPI journals
Dr. Társilo Girona
E-Mail Website
Guest Editor
Geophysical Institute, Alaska Volcano Observatory, University of Alaska Fairbanks, 2156 N Koyukuk Dr, Fairbanks, AK 99775, USA
Interests: natural hazards; volcanoes; earthquakes; machine-learning; physics-based modeling; spectroscopy
Special Issues and Collections in MDPI journals
Dr. Simona Scollo
E-Mail Website
Guest Editor
Istituto Nazionale di Geofisica e Vulcanologia, Piazza Roma 2, 95125 Catania, Italy
Interests: volcanic ash plume dispersal and fallout; remote sensing techniques; volcanic plume modelling; volcano monitoring; experimental volcanology; physics of volcanic processes; multidisciplinary imaging of volcanoes, volcanic hazards
Special Issues and Collections in MDPI journals
Dr. Nicolas Theys
E-Mail Website
Guest Editor
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), 3 Avenue Circulaire, 1180 Brussels, Belgium
Interests: satellite; remote sensing; UV-visible; thermal infrared; volcanoes; emissions; sulfur dioxide; aerosols; aviation hazards
Special Issues and Collections in MDPI journals

Special Issue Information

Dear Colleagues,

The accurate forecasting and characterization of volcanic activity, and the assessment of their potential impact on land and population, is an open challenge given the inhomogeneity of monitoring networks around active volcanoes and the wide range of eruptive styles and volcanic phenomena. For the last forty years, satellite- and ground-based remote sensing techniques have been extensively used to monitor volcanoes worldwide. Satellite measurements are, for example, a very useful tool for estimating volcano deformation, thermal activity, SO2/ash extension and amount, and lava flow mapping. In addition, ground-based remote sensing systems, ranging from low cost cameras and drones to more expensive instruments (e.g., radars and lidars, FTIR), are able to estimate important eruption source parameters in a similar way to satellite measurements but with different spatiotemporal resolution and sensitivity. All those measurements are fundamental to effectively track the evolution of volcanoes and enhance physics-based dynamic models that link those spatial and temporal observations with volcanic phenomena. In this context, ensemble-based data assimilation approaches have been successfully implemented to model time-varying ground deformation observations from interferometric synthetic-aperture radar (InSAR), or to forecast volcanic ash and SO2 dispersal in the atmosphere. Integrating remote sensing observations and models is fundamental to forecasting volcanic activity and impact in near-real time.

We invite papers dealing with the integration of satellite- and ground-based remote sensing observations into modelling with the aim to nowcast and possibly forecast volcanic hazards and their impact. Contributions on novel methodologies and applications are welcome.

You may choose our Joint Special Issue in Forecasting.

Dr. Gaetana Ganci
Dr. Társilo Girona
Dr. Simona Scollo
Dr. Nicolas Theys
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • modeling of volcanic processes
  • forecasting volcanic hazards
  • satellite data
  • ground-based remote sensing techniques
  • data assimilation

Published Papers (1 paper)

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Research

Article
The 2019 Eruptive Activity at Stromboli Volcano: A Multidisciplinary Approach to Reveal Hidden Features of the “Unexpected” 3 July Paroxysm
Remote Sens. 2021, 13(20), 4064; https://0-doi-org.brum.beds.ac.uk/10.3390/rs13204064 - 11 Oct 2021
Viewed by 475
Abstract
In July and August 2019, Stromboli volcano underwent two dangerous paroxysms previously considered “unexpected” because of the absence of significant changes in usually monitored parameters. We applied a multidisciplinary approach to search for signals able to indicate the possibility of larger explosive activity [...] Read more.
In July and August 2019, Stromboli volcano underwent two dangerous paroxysms previously considered “unexpected” because of the absence of significant changes in usually monitored parameters. We applied a multidisciplinary approach to search for signals able to indicate the possibility of larger explosive activity and to devise a model to explain the observed variations. We analysed geodetic data, satellite thermal data, images from remote cameras and seismic data in a timespan crossing the eruptive period of 2019 to identify precursors of the two paroxysms on a medium-term time span (months) and to perform an in-depth analysis of the signals recorded on a short time scale (hours, minutes) before the paroxysm. We developed a model that explains the observations. We call the model “push and go” where the uppermost feeding system of Stromboli is made up of a lower section occupied by a low viscosity, low density magma that is largely composed of gases and a shallower section occupied by the accumulated melt. We hypothesize that the paroxysms are triggered when an overpressure in the lower section is built up; the explosion will occur at the very moment such overpressure overcomes the confining pressure of the highly viscous magma above it. Full article
(This article belongs to the Special Issue Assessment and Prediction of Volcano Hazard Using Remote Sensing)
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