Locating Incipient Volcanic Vents Using Multidisciplinary Remote Sensing Data and Source Modeling Information
Abbreviated Journal Title
IEEE Geosci. Remote Sens. Lett.
Keywords
Interferometric synthetic aperture radar (InSAR); seismic; volcanic; hazard; volcanic vent; SYNTHETIC-APERTURE RADAR; OKMOK VOLCANO; INTERFEROMETRY; ERUPTION; ALASKA; Geochemistry & Geophysics; Engineering, Electrical & Electronic; Remote; Sensing
Abstract
Knowing the location of an impending volcanic eruption would aid civil authorities in preparing the proper response to a developing crisis. Deterministic predictions of an eruption's location are not possible due to the highly complex nature of volcanic processes. Therefore, probabilistic forecasting techniques are required for estimating the location of an impending eruption. In this letter, we present a process for locating incipient volcanic vents using a spatial probability density function (PDF) constructed from a combination of multidisciplinary remote sensing data and source modeling information. Our process is flexible and designed to adapt to changing data availability and geologic conditions that typically occur during a developing volcanic crisis. The utility of our process is evaluated through the analysis of PDFs that forecast probable vent locations prior to Okmok's 2008 eruption. Results show our multidisciplinary approach produces a robust PDF that is spatially constrained to areas exhibiting various types of volcanic unrest and adapts to evolving conditions at the site.
Journal Title
Ieee Geoscience and Remote Sensing Letters
Volume
10
Issue/Number
1
Publication Date
1-1-2013
Document Type
Article
Language
English
First Page
140
Last Page
144
WOS Identifier
ISSN
1545-598X
Recommended Citation
"Locating Incipient Volcanic Vents Using Multidisciplinary Remote Sensing Data and Source Modeling Information" (2013). Faculty Bibliography 2010s. 4171.
https://stars.library.ucf.edu/facultybib2010/4171
Comments
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