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dc.contributor.authorBui, Luyen Khac
dc.contributor.supervisorWill Featherstoneen_US
dc.contributor.supervisorMick Filmeren_US
dc.date.accessioned2021-05-21T02:30:30Z
dc.date.available2021-05-21T02:30:30Z
dc.date.issued2021en_US
dc.identifier.urihttp://hdl.handle.net/20.500.11937/83668
dc.description.abstract

This dissertation assesses the influence of residual interferometric noise on SBAS InSAR, utilises redundancy numbers to design a SBAS network and analyses the noise in the SBAS-derived deformation time-series. The simulation results indicated that a contradictory trend may be derived if a network with fewer interferograms is applied to low-magnitude deformation and a network with redundancy number between ~0.8 and ~0.9 is “optimal”. A white plus flicker model best describes the noise model of deformation time-series.

en_US
dc.publisherCurtin Universityen_US
dc.titleSmall baseline subset InSAR data processing: design of interferogram networks and noise analysis in InSAR-derived deformation time seriesen_US
dc.typeThesisen_US
dcterms.educationLevelPhDen_US
curtin.departmentSchool of Earth and Planetary Sciencesen_US
curtin.accessStatusOpen accessen_US
curtin.facultyScience and Engineeringen_US
curtin.contributor.orcidBui, Luyen Khac [0000-0003-1091-5573]en_US


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