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Proceedings of the IEEE
Article . 2012 . Peer-reviewed
Data sources: Crossref
DBLP
Article . 2012
Data sources: DBLP
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Remote Sensing of Volcanic Hazards and Their Precursors

Authors: Andrew Hooper; Fred Prata; Freysteinn Sigmundsson;

Remote Sensing of Volcanic Hazards and Their Precursors

Abstract

Ash, tephra, and gas ejected during explosive eruptions pose a major far-reaching threat to population, health, and air traffic. Lava flows, lahars, and floods from ice-capped volcanos, as well as landslides that have a potential for tsunami generation if they reach into sea or lakes, can also have a major influence. Remote sensing contributes to the mitigation of these hazards through the use of synthetic aperture radar interferometry (InSAR) and spectroradiometry. In the case of InSAR, displacements of a volcano's surface can be interpreted in terms of magma movement beneath the ground. Thus, the technique can be used to identify precursors to eruptions and to track the evolution of eruptions. Recent advances in algorithm development enable relative displacements over many kilometers to be measured with an accuracy of only a few millimeters. Spectroradiometry on the other hand allows monitoring of a volcanic eruption through the detection of hot spots, and monitoring and quantification of the ash and SO2 emitted by volcanos into the atmosphere. The tracking of ash plumes during eruptions assists in the identification of areas that should be avoided by aircraft. Here we present a review of these two remote sensing techniques, and their application to volcanic hazards.

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United Kingdom
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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
34
Top 10%
Top 10%
Top 10%
bronze