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Special Issue "Quantitative Volcanic Hazard Assessment and Uncertainty Analysis in Satellite Remote Sensing and Modeling"
A special issue of Remote Sensing (ISSN 2072-4292).
Deadline for manuscript submissions: 31 December 2020.
Interests: physical volcanology; volcanic hazard modeling; satellite remote sensing
Interests: Satellite Remote Sensing, Physical and thermodynamic properties of volcanic products
Interests: volcanic hazard modeling; fluid dynamics; uncertainty analysis
Volcanic eruptions can be both effusive, through the outpouring of lava onto the ground, and explosive, through the dispersion of ash in the atmosphere. Each type of eruptive process can produce its associated hazards, from lava flows that can impact local populations to dispersing ash clouds that can lead to aviation impacts. To deal effectively with these crises, a strategy based on the integration of field data, satellite observations and physical models is emerging to monitor volcanic hazards in near real-time. By monitoring, we mean here both following the manifestations of the eruption once it has started, as well as forecasting the areas potentially threatened by volcanic products in an eruptive scenario. The need for integrated and efficient monitoring systems, operating on a global scale, and including tools for producing different scenarios as eruptive conditions change, is a primary challenge for volcanic hazard modeling. Understanding and quantifying uncertainties surrounding the modeling inputs, processing and outputs is thus central to make the modeling of volcanic hazards effective. Characterizing uncertainties will allow more confidence in the interpretation of final model simulations and the application of model results for improved decision support systems.
This Special Issue covers original research and studies related to the above-mentioned topics, including but not limited to:
(i) describing field and remote sensing data provisions and their sources of uncertainty;
(ii) evaluating model robustness through validation against real case studies;
(iii) model comparison between numerical simulations, analytical solutions and laboratory experiments;
(iv) quantification of uncertainty propagation through both forward (sensitivity analyses) and inverse (optimization/calibration) modelling in all components of volcanic hazard modelling.
Dr. Ciro Del Negro
Prof. Michael S. Ramsey
Prof. Alexis Hérault
Dr. Gaetana Ganci
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 1800 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.
- volcanic eruptions
- satellite remote sensing of volcanoes
- volcanic hazard modeling
- experimental petrology
- fluid dynamics
- data assimilation
- uncertainty analysis