Processing strategies optimization and error mitigation of geodetic measurements
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Earth, Atmospheric, and Planetary Sciences, 2017. Page 177 blank. Cataloged from PDF version of thesis. Includes bibliographical references (pages 171-176). This doctoral thesis focuses on the application of geodetic techniques and...
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ftmit:oai:dspace.mit.edu:1721.1/112431 2023-06-11T04:13:15+02:00 Processing strategies optimization and error mitigation of geodetic measurements Coccia, Martina Thomas Herring. Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences. 2017 177 pages application/pdf http://hdl.handle.net/1721.1/112431 eng eng Massachusetts Institute of Technology http://hdl.handle.net/1721.1/112431 1008776029 MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission. http://dspace.mit.edu/handle/1721.1/7582 Earth Atmospheric and Planetary Sciences Thesis 2017 ftmit 2023-05-29T08:15:28Z Thesis: Ph. D., Massachusetts Institute of Technology, Department of Earth, Atmospheric, and Planetary Sciences, 2017. Page 177 blank. Cataloged from PDF version of thesis. Includes bibliographical references (pages 171-176). This doctoral thesis focuses on the application of geodetic techniques and finite element modeling to studying crustal deformation and other processes. In particular, it focuses on optimizing standard processing strategies, reducing the noise in the measurements and mitigating the effects of external processes in order to extract the signal of interest. Geodetic techniques, such GPS and InSAR, are still affected by major sources of errors, such as multipath, atmospheric effects, snow, blockage of the signal by infrastructure that can make difficult the detection of geophysical signal. In this thesis, I analyze three sets of data for which I have used different approaches to estimate the displacement and to investigate the sources of deformation that contribute to the signal. The first project consists of studying the deformation caused by the seasonal cycle of injection/withdrawal of gas in a depleted gas reservoir using InSAR measurements and Finite Element modeling techniques. In this project, I present a method to reduce the atmospheric signal, using statistical techniques and filtering and to estimate the error on the measurements. I compare the estimates with Finite Element modeling of the reservoir, using an elastic rheology. The second project analyses the unrest of Katla volcano in Iceland using GPS observables. GPS stations on top of the volcano register a complex signal, caused by the concurrence of different processes, such as snow on the antenna, multipath, earthquakes, volcanic deformation and hydrological events. In this project, I explore methods to detect the effects of snow/ice on top of antennas and to separate the different sources of the signal in order to extract the volcanic deformation component. I then compare the GPS measurements with a finite element model of ... Thesis Iceland Katla DSpace@MIT (Massachusetts Institute of Technology) Katla ENVELOPE(-19.062,-19.062,63.631,63.631) |
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DSpace@MIT (Massachusetts Institute of Technology) |
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language |
English |
topic |
Earth Atmospheric and Planetary Sciences |
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Earth Atmospheric and Planetary Sciences Coccia, Martina Processing strategies optimization and error mitigation of geodetic measurements |
topic_facet |
Earth Atmospheric and Planetary Sciences |
description |
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Earth, Atmospheric, and Planetary Sciences, 2017. Page 177 blank. Cataloged from PDF version of thesis. Includes bibliographical references (pages 171-176). This doctoral thesis focuses on the application of geodetic techniques and finite element modeling to studying crustal deformation and other processes. In particular, it focuses on optimizing standard processing strategies, reducing the noise in the measurements and mitigating the effects of external processes in order to extract the signal of interest. Geodetic techniques, such GPS and InSAR, are still affected by major sources of errors, such as multipath, atmospheric effects, snow, blockage of the signal by infrastructure that can make difficult the detection of geophysical signal. In this thesis, I analyze three sets of data for which I have used different approaches to estimate the displacement and to investigate the sources of deformation that contribute to the signal. The first project consists of studying the deformation caused by the seasonal cycle of injection/withdrawal of gas in a depleted gas reservoir using InSAR measurements and Finite Element modeling techniques. In this project, I present a method to reduce the atmospheric signal, using statistical techniques and filtering and to estimate the error on the measurements. I compare the estimates with Finite Element modeling of the reservoir, using an elastic rheology. The second project analyses the unrest of Katla volcano in Iceland using GPS observables. GPS stations on top of the volcano register a complex signal, caused by the concurrence of different processes, such as snow on the antenna, multipath, earthquakes, volcanic deformation and hydrological events. In this project, I explore methods to detect the effects of snow/ice on top of antennas and to separate the different sources of the signal in order to extract the volcanic deformation component. I then compare the GPS measurements with a finite element model of ... |
author2 |
Thomas Herring. Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences. |
format |
Thesis |
author |
Coccia, Martina |
author_facet |
Coccia, Martina |
author_sort |
Coccia, Martina |
title |
Processing strategies optimization and error mitigation of geodetic measurements |
title_short |
Processing strategies optimization and error mitigation of geodetic measurements |
title_full |
Processing strategies optimization and error mitigation of geodetic measurements |
title_fullStr |
Processing strategies optimization and error mitigation of geodetic measurements |
title_full_unstemmed |
Processing strategies optimization and error mitigation of geodetic measurements |
title_sort |
processing strategies optimization and error mitigation of geodetic measurements |
publisher |
Massachusetts Institute of Technology |
publishDate |
2017 |
url |
http://hdl.handle.net/1721.1/112431 |
long_lat |
ENVELOPE(-19.062,-19.062,63.631,63.631) |
geographic |
Katla |
geographic_facet |
Katla |
genre |
Iceland Katla |
genre_facet |
Iceland Katla |
op_relation |
http://hdl.handle.net/1721.1/112431 1008776029 |
op_rights |
MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission. http://dspace.mit.edu/handle/1721.1/7582 |
_version_ |
1768390032558653440 |