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Rozprawy doktorskie na temat „InSAR time series”

Autor: Grafiati

Data publikacji: 3 czerwca 2025

Data aktualizacji: 31 lipca 2025

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1

Shirzaei, Manoochehr. "Crustal deformation source monitoring using advanced InSAR time series and time dependent inverse modeling." Phd thesis, Universität Potsdam, 2010. http://opus.kobv.de/ubp/volltexte/2011/5077/.

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Crustal deformation can be the result of volcanic and tectonic activity such as fault dislocation and magma intrusion. The crustal deformation may precede and/or succeed the earthquake occurrence and eruption. Mitigating the associated hazard, continuous monitoring of the crustal deformation accordingly has become an important task for geo-observatories and fast response systems. Due to highly non-linear behavior of the crustal deformation fields in time and space, which are not always measurable using conventional geodetic methods (e.g., Leveling), innovative techniques of monitoring and anal

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Yang, Ziyi. "Monitoring and predicting railway subsidence using InSAR and time series prediction techniques." Thesis, University of Birmingham, 2015. http://etheses.bham.ac.uk//id/eprint/6377/.

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Improvements in railway capabilities have resulted in heavier axle loads and higher speed operations, which increase the dynamic loads on the track. As a result, railway subsidence has become a threat to good railway performance and safe railway operation. The author of this thesis provides an approach for railway performance assessment through the monitoring and prediction of railway subsidence. The InSAR technique, which is able to monitor railway subsidence over a large area and long time period, was selected for railway subsidence monitoring. Future trends of railway subsidence should also

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Bui, Luyen Khac. "Small baseline subset InSAR data processing: design of interferogram networks and noise analysis in InSAR-derived deformation time series." Thesis, Curtin University, 2021. http://hdl.handle.net/20.500.11937/83668.

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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.

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Osmanoglu, Batuhan. "Applications and Development of New Algorithms for Displacement Analysis Using InSAR Time Series." Scholarly Repository, 2011. http://scholarlyrepository.miami.edu/oa_dissertations/622.

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Time series analysis of Synthetic Aperture Radar Interferometry (InSAR) data has become an important scientific tool for monitoring and measuring the displacement of Earth’s surface due to a wide range of phenomena, including earthquakes, volcanoes,landslides, changes in ground water levels, and wetlands. Time series analysis is a product of interferometric phase measurements, which become ambiguous when the observed motion is larger than half of the radar wavelength. Thus, phase observations must first be unwrapped in order to obtain physically meaningful results. Persistent Scatterer Interfe

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Riddick, Susan Nancy 1987. "A Time Series Analysis of Volcanic Deformation near Three Sisters, Oregon, using InSAR." Thesis, University of Oregon, 2011. http://hdl.handle.net/1794/11479.

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x, 57 p. : ill. (mostly col.)<br>An extensive area west of the Three Sisters volcanoes of Oregon has been actively uplifting for over a decade. Examining the deformation is imperative to improve understanding of the potential hazards of Cascade volcanism and the emplacement of magma. I refine the timing of the onset of the deformation, resolve the change in uplift rates through time, and quantify the current deformation rate using Interferometric Synthetic Aperture Radar. The deformation is assessed in time and space using single interferogram InSAR, stacks of interferograms, and line-of-sight

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Zhou, Zhiwei. "The applications of InSAR time series analysis for monitoring long-term surface change in peatlands." Thesis, University of Glasgow, 2013. http://theses.gla.ac.uk/4875/.

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In the past three decades, peatlands all over the world such as upland bogs, tropical fens, have been undergoing significant and rapid degradations. These degradations cause carbon loss and CO2 emissions, and also fuel climate change. In this research, I present three case studies on how space geodetic tools, especially Radar Interferometry (InSAR), can be used to monitor and to advance our understanding of the long-term surface changes in peatlands. First, I investigate the eroding extent and severity of upland UK peatlands using InSAR. Both short wavelength C-band and long wavelength L-band

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Bouraoui, Seyfallah. "Time series analysis of SAR images using persistent scatterer (PS), small baseline (SB) and merged approaches in regions with small surface deformation." Phd thesis, Université de Strasbourg, 2013. http://tel.archives-ouvertes.fr/tel-01019429.

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This thesis aims at the study of small to large surface deformation that can be detected using the remote sensing interferometric synthetic aperture radar (InSAR) methods. The new developments of InSAR processing techniques allow the monitoring of surface deformation with millimeter surface change accuracy. Conventional InSAR use a pair of SAR images ("Master" and "Slave" images) in order to measure the phase difference between the two images taken at different times. The uncertainties in measurements using the conventional InSAR due to the atmospheric delay, the topographic changes and the or

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Cetin, Esra. "Analysis and modeling of crustal deformation using InSAR time series along selected active faults within the Africa-Eurasia convergence zone." Thesis, Strasbourg, 2015. http://www.theses.fr/2015STRAH010/document.

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Les travaux de cette thèse de Doctorat ont été menés dans le cadre de l'accord en co-tutelle entre l'Université de Strasbourg (EOST) et Istanbul Technical University (Dept. of Geology), avec l'octroi d'une bourse d'étude annuelle de !'Ambassade de France à Ankara, une bourse d'excellence EIFFEL de 10 mois, et un support financier de 8 mois de« TUBITAK 22148 - joint Ph.D. ». La zone de convergence de plaques Afrique - Eurasie comporte des failles capables de générer de forts séismes destructeurs. L'objectif de cette thèse est une meilleure compréhension du comportement de ces failles, et du cyc

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Tamer, Ibrahim Mahmoud Mosaad ElGharbawi. "Geodetic accuracy observations of regional land deformations caused by the 2011 Tohoku Earthquake using SAR interferometry and GEONET data." 京都大学 (Kyoto University), 2015. http://hdl.handle.net/2433/202686.

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Heimlich, Christine. "Méthodes géodésiques appliquées à la géothermie et mesures de déformations locales dans le Fossé rhénan supérieur." Thesis, Strasbourg, 2016. http://www.theses.fr/2016STRAH011/document.

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Le Fossé rhénan bénéficie de circulations naturelles d’eau géothermale, ce qui le rend propice à l’exploitation géothermique. Comment et où les fluides géothermaux circulent-ils ? Quels liens ont-ils avec la tectonique et la sismicité induite ? La géodésie spatiale pourrait-elle apporter de nouveaux éclairages à ces questionnements ? L’objectif de cette thèse est la réalisation d’un suivi géodésique des sites géothermiques de Soultz-sous-Forêts et de Rittershoffen (Alsace, France). Les observations permettent de faire un état des lieux des déplacements de surface des environs des sites pendant

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11

Lima, Tiago de Almeida Cerqueira. "Modelos INAR e RCINAR, estimação e aplicação." Universidade de São Paulo, 2013. http://www.teses.usp.br/teses/disponiveis/45/45133/tde-10062013-230800/.

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Neste trabalho primeiramente apresentamos um modelo para uma sequência estacionária de valores inteiros (processo de contagem) autoregressivo de ordem p (INAR(p)). Depois disso, mos- traremos uma extensão desse processo, chamado modelo autoregressivo inteiro com coeficientes aleatórios (RCINAR(p)) . Para ambos os modelos, apresentamos suas propriedades assim como diferentes métodos de estimação de seus parâmetros. Os resultados da simulação e comparação dos estimadores são mostrados. Finalmente os modelos são aplicados em dois conjuntos de dados reais: Número mensal de empresas em falência; Nú

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12

Prezotti, Filho Paulo Roberto. "Periodic models and variations applied to health problems." Thesis, Université Paris-Saclay (ComUE), 2019. http://www.theses.fr/2019SACLC015.

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Ce manuscrit porte sur certaines extensions à des séries temporelles prenant des valeurs entières du modèle paramétrique périodique autorégressif établi pour des séries prenant des valeurs réelles. Les modèles que nous considérons sont basés sur l'utilisation de l'opérateur de Steutel et Van Harn (1979) et généralisent le processus autorégressif stationnaire à valeurs entières (INAR) introduit par Al-Osh & Alzaid (1987) à des séries de comptage périodiquement corrélées. Ces généralisations incluent l'introduction d'un opérateur périodique, la prise en compte d'une structure d’autocorrélati

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13

Ahmad, Ali. "Contribution à l'économétrie des séries temporelles à valeurs entières." Thesis, Lille 3, 2016. http://www.theses.fr/2016LIL30059/document.

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Dans cette thèse, nous étudions des modèles de moyennes conditionnelles de séries temporelles à valeurs entières. Tout d’abord, nous proposons l’estimateur de quasi maximum de vraisemblance de Poisson (EQMVP) pour les paramètres de la moyenne conditionnelle. Nous montrons que, sous des conditions générales de régularité, cet estimateur est consistant et asymptotiquement normal pour une grande classe de modèles. Étant donné que les paramètres de la moyenne conditionnelle de certains modèles sont positivement contraints, comme par exemple dans les modèles INAR (INteger-valued AutoRegressive) et

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14

Yang, Dochul. "Estimating high resolution atmospheric phase screens from differential InSAR measurements." Thesis, 2010. http://hdl.handle.net/2152/ETD-UT-2010-05-969.

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Atmospheric artifacts superimposed on interferometric synthetic aperture radar (InSAR) measurements have the potential to greatly impede the accurate estimation of deformation signals. The research presented in this dissertation demonstrates a novel InSAR time series algorithm, called HiRAPS algorithm, for effectively estimating high resolution atmospheric phase screens (APS) from differential InSAR measurements. In summary, the HiRAPS algorithm utilizes short time span differential interferograms and rearranges components of existing advanced InSAR techniques to identify a higher density of s

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15

Shirzaei, Manoochehr [Verfasser]. "Crustal deformation source monitoring using advanced InSAR time series and time dependent inverse modeling / Manoochehr Shirzaei." 2010. http://d-nb.info/1014227720/34.

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16

"Remote Sensing and Modeling of Stressed Aquifer Systems and the Associated Hazards." Doctoral diss., 2018. http://hdl.handle.net/2286/R.I.50435.

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abstract: Aquifers host the largest accessible freshwater resource in the world. However, groundwater reserves are declining in many places. Often coincident with drought, high extraction rates and inadequate replenishment result in groundwater overdraft and permanent land subsidence. Land subsidence is the cause of aquifer storage capacity reduction, altered topographic gradients which can exacerbate floods, and differential displacement that can lead to earth fissures and infrastructure damage. Improving understanding of the sources and mechanisms driving aquifer deformation is important for

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17

Barros, Nataniel Lopes. "Modelos autorregressivos com valores inteiros não negativos : aplicação em séries económicas de Cabo Verde." Master's thesis, 2016. http://hdl.handle.net/10400.2/5594.

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No estudo de séries temporais, os processos estocásticos usuais assumem que as distribuições marginais são contínuas e, em geral, não são adequados para modelar séries de contagem, pois as suas características não lineares colocam alguns problemas estatísticos, principalmente na estimação dos parâmetros. Assim, investigou-se metodologias apropriadas de análise e modelação de séries com distribuições marginais discretas. Neste contexto, Al-Osh and Alzaid (1987) e McKenzie (1988) introduziram na literatura a classe dos modelos autorregressivos com valores inteiros não negativos, os proces

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18

Filipe, Dora Pestana. "O operador thinning na modelação de séries temporais de contagem." Master's thesis, 2015. http://hdl.handle.net/10316/31687.

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Dissertação de Mestrado em Matemática, área de Especialização em Estatística, Optimização e Matemática Financeira, apresentada à Faculdade de Ciências e Tecnologia da Universidade de Coimbra<br>As séries temporais de valores inteiros não-negativos podem ser encontradas em muitas situações e actividades, especialmente associadas a processos de contagem. Como os modelos ARMA não são adequados para modelar este tipo de séries, surgiu a necessidade de criar uma nova classe, os modelos INARMA, que utilizam o operador thinning binomial em vez da multiplicação usual. Neste trabalho, começamos por ap

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