InSAR Observations of Ground Deformation - Application to the Cascades Volcanic Arc (Paperback, Softcover reprint of the original 1st ed. 2017)

This doctoral thesis applies measurements of ground deformation from satellite radar using their potential to play a key role in understanding volcanic and magmatic processes throughout the eruption cycle. However, making these measurements is often problematic, and the processes driving ground deformation are commonly poorly understood. These problems are approached in this thesis in the context of the Cascades Volcanic Arc. From a technical perspective, the thesis develops a new way of using regional-scale weather models to assess a priori the influence of atmospheric uncertainties on satellite measurements of volcano deformation, providing key parameters for volcano monitoring. Next, it presents detailed geodetic studies of two volcanoes in northern California: Medicine Lake Volcano and Lassen Volcanic Centre. Finally, the thesis combines geodetic constraints with petrological inputs to develop a thermal model of cooling magma intrusions. The novelty and range of topics covered in this thesis mean that it is a seminal work in volcanic and magmatic studies.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Springer Theses
Release date:	June 2018
First published:	2017
Authors:	Amy Laura Parker
Dimensions:	235 x 155 x 10mm (L x W x T)
Format:	Paperback
Pages:	165
Edition:	Softcover reprint of the original 1st ed. 2017
ISBN-13:	978-3-319-81799-6
Categories:	Books > Earth & environment > The environment > Environmental impact of natural disasters & phenomena Books > Science & Mathematics > Physics > Applied physics & special topics > Geophysics Books > Earth & environment > Earth sciences > Geology & the lithosphere > Geochemistry Books > Earth & environment > Geography > Cartography, geodesy & geographic information systems (GIS) > Geographical information systems (GIS) Books > Earth & environment > Geography > Cartography, geodesy & geographic information systems (GIS) > Remote sensing
LSN:	3-319-81799-X
Barcode:	9783319817996

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