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  • Hannover : Fachrichtung Geodäsie und Geoinformatik der Leibniz Universität Hannover  (4)
  • Hannover : Universität  (2)
  • English  (6)
  • 2015-2019  (6)
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  • 1
    Series available for loan
    Series available for loan
    Hannover : Universität
    Call number: S 99.0139(322)
    Description / Table of Contents: GNSS, multipath, gain pattern, Jones vector, signal power. - Mehrwegeffekte, Antennengewinndiagramm, Jones Vektor, Signalstärke
    Type of Medium: Series available for loan
    Pages: xv, 148 Seiten , Illustrationen, Diagramme
    Series Statement: Wissenschaftliche Arbeiten der Fachrichtung Geodäsie und Geoinformatik der Leibniz Universität Hannover Nr. 322
    Classification:
    Geodesy
    Parallel Title: Erscheint auch als Carrier-phase multipath in satellite-based positioning
    Language: English
    Location: Lower compact magazine
    Branch Library: GFZ Library
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  • 2
    Series available for loan
    Series available for loan
    Hannover : Universität
    Call number: S 99.0139(320)
    Type of Medium: Series available for loan
    Pages: 103 Seiten , Illustrationen
    Series Statement: Wissenschaftliche Arbeiten der Fachrichtung Geodäsie und Geoinformatik der Leibniz Universität Hannover Nr. 320
    Classification:
    Geodesy
    Language: English
    Location: Lower compact magazine
    Branch Library: GFZ Library
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  • 3
    Call number: S 99.0139(345)
    In: Wissenschaftliche Arbeiten der Fachrichtung Vermessungswesen der Universität Hannover
    Type of Medium: Series available for loan
    Pages: xiii, 107 Seiten , Illustrationen, Diagramme
    ISSN: 0174-1454
    Series Statement: Wissenschaftliche Arbeiten der Fachrichtung Vermessungswesen der Universität Hannover Nr. 345
    Language: English
    Note: Dissertation, Gottfried Wilhelm Leibniz Universität Hannover, 2018 , Introduction 1.1 Motivation and Objectives 1.2 Structure of the work 1.3 Own contributions for solving of the central issues 2 Modelling of measurement uncertainties 2.1 Motivation and overview 2.2 Characteristics of random and systematic uncertainties 2.3 Modelling methods for the uncertainty of measurements 2.3.1 An overview on uncertainty modelling 2.3.2 Probability theory and Bayes' theorem 3 Utility theory 3.1 Fundamentals 3.1.1 Ordinal utility 3.1.2 Cardinal utility 3.1.3 Multi-attribute utility 3.2 Expected Utility 3.2.1 Introduction 3.2.2 Von Neumann-Morgenstern utility theorem 4 Decision making procedures under uncertainty 4.1 Motivation and overview 4.2 Hypothesis testing with measurement uncertainties 4.2.1 Fundamentals 4.2.2 Statistical hypothesis testing 4.3 Decision making under pure uncertainty 4.4 Decision making under risk 4.5 Determination of significance level 4.6 Comparisons of two decision making methods 5 Transferring the methodology to applications 5.1 Motivation 5.2 Applications of two alternatives 5.2.1 Application of Case I 5.2.2 Application of Case II 5.3 Applications extended to u alternatives 5.4 Discussion of results and conclusions 6 Steering of measurement processes 6.1 Motivation 6.2 General process of measurement steering 6.3 Example of a steering application 7 Summary and outlook 7.1 Summary 7.2 Outlook Bibliography Acknowledgement Curriculum Vitae
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  • 4
    Call number: S 99.0139(348)
    In: Wissenschaftliche Arbeiten der Fachrichtung Vermessungswesen der Universität Hannover
    Type of Medium: Series available for loan
    Pages: 145 Seiten , Illustrationen, Diagramme, Karten
    ISSN: 0174-1454
    Series Statement: Wissenschaftliche Arbeiten der Fachrichtung Vermessungswesen der Universität Hannover Nr. 348
    Language: English
    Note: Dissertation, Gottfried Wilhelm Leibniz Universität Hannover, 2018 , Introduction 1.1 Synthetic Aperture Radar from Spaceborne Remote Sensing 1.2 Satellite-Based Monitoring of the Terrestrial Water Cycle 1.3 Remote Sensing of Water Storage in Central Asia 1.4 GFZ Activities in Central Asia and Study Areas in Kyrgyzstan 1.5 Research Objectives 1.6 Outline and Structure of the Thesis 2 Fundamentals of Synthetic Aperture Radar Remote Sensing 2.1 SAR Satellite Data 2.2 SAR Satellite Missions 2.3 Interferometric SAR 2.4 DInSAR Time Series with PSI 2.5 DInSAR Time Series with SBAS 2.6 Feature Tracking 3 State of the Art 3.1 Inter- and Intra-Annual Glacier Surface Velocities from SAR Data 3.2 Inter- and Intra-Annual Glacier Elevation Changes from SAR Data 3.3 Inter- and Intra-Annual Loading-Induced Crustal Deformations at Water Reservoirs from SAR Data 4 Quantification of Inylchek Glacier Surface Kinematics 4.1 Abstract 4.2 Introduction 4.3 Inylchek Glacier 4.4 Data and Methodology 4.4.1 TerraSAR-X Data Set 4.4.2 Feature Tracking 4.4.3 Decomposition to 3D Velocities 4.5 Results 4.6 Discussion 4.6.1 Error Estimation 4.6.2 Inter-Annual Kinematics of the Upper Southern Inylchek Glacier Branch .... 4.6.3 Lake Level Extent and GLOF 4.7 Conclusions 4.8 Acknowledgements 4.9 Author Contribution 5 Quantification of Inylchek Glacier Elevation Changes 5.1 Abstract 5.2 Introduction 5.3 Data 5.3.1 TanDEM X Data 5.3.2 External DEMs 5.3.3 Glacier Outlines of Inylchek 5.4 Methodology 5.4.1 Interferometric Processing of TanDEM-X Data 5.4.2 Alignment of the SRTM and TDX DEMs 5.4.3 Radar Penetration Correction 5.4.4 DEM Elevation Difference Calculation 5.4.5 Accuracy Assessment 5.5 Results and Discussion 5.5.1 Uncertainty of Measurements 5.5.2 DEM Alignment Quality 5.5.3 Inylchek Elevation Changes 5.6 Conclusions 5.7 Acknowledgements 5.8 Author Contribution 6 Quantification of Toktogul Water-Level-Induced Ground Deformations 6.1 Abstract 6.2 Introduction 6.3 Materials and Methods 6.3.1 Lake Altimetry 6.3.2 DInSAR processing of Envisat ASAR and Sentinel-1 Data 6.3.3 Atmospheric Correction 6.3.4 Deformation Decomposition of SentineH Data 6.3.5 Modelling of Elastic Surface Deformations 6.4 Results 6.4.1 Atmospheric Corrections 6.4.2 Ground Deformation 6.5 Discussion 6.5.1 Atmospheric Corrections 6.5.2 Ground Deformation 6.6 Conclusions 6.7 Acknowledgments 6.8 Author Contribution 7 Subsequent Work 7.1 Scope of the Chapter 7.2 GNSS-derived Inylchek Glacier Surface Kinematics 7.2.1 Abstract 7.2.2 Author Contribution 7.3 Monitoring of Lake Merzbacher's GLOF Event 7.3.1 Abstract 7.3.2 Author Contribution 7.4 Ongoing Work at GFZ Based on the Results of this Thesis 8 Summary and Outlook 8.1 Summary of Main Results 8.1.1 Methodological Aspects 8.1.2 Monitoring of Short-Time Changes 8.2 Outlook Bibliography
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    Branch Library: GFZ Library
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  • 5
    Call number: S 99.0139(353)
    In: Arbeiten der Fachrichtung Geodäsie und Geoinformatik der Leibniz Universität Hannover, Nr. 353
    Type of Medium: Series available for loan
    Pages: xii, 116 Seiten , Illustrationen, Diagramme
    ISBN: 978-3-7696-5251-2 , 9783769652512
    ISSN: 0065-5325
    Series Statement: Wissenschaftliche Arbeiten der Fachrichtung Geodäsie und Geoinformatik der Universität Hannover Nr. 353
    Language: English
    Note: Dissertation, Gottfried Wilhelm Leibniz Universität Hannover, 2019 , Contents Declaration Abstract Zusammenfassung List of Figures List of Tables Abbreviation 1 Introduction 1.1 Motivation of the study 1.2 Proposal and content 2 On the application of TLS in deformation monitoring 2.1 Fundamentals of TLS 2.1.1 Range measurement system 2.1.2 Beam deflection system 2.2 Error sources for TLS measurements 2.2.1 Influence factors for the errors 2.2.2 State of the art in TLS calibration 2.3 Deformation monitoring with TLS measurements 2.3.1 Design of measurement scheme 2.3.2 Data collection 2.3.3 Data pre-processing 2.3.4 General methodology in TLS-based deformation monitoring 3 The influence of a simplified stochastic model on a congruence based deformation analysis 3.1 Modelling the deformation 3.1.1 Conventional deformation model (Descriptive model) 3.1.2 Advanced deformation model (Causal model) 3.2 Hypothesis test for congruency 3.3 Influence of simplified VCMs on the congruency test 4 On the stochasticity of TLS measurement 4.1 State of the art for the stochastic models of TLS measurements 4.2 Challenge of specifying variance-covariance values 4.3 Statistical evaluation of stochastic model 5 Approximating the 3D point clouds with B-spline models for deformation monitoring 5.1 State of the art on the approximation of 3D point clouds 5.2 B-spline approximation in a linear Gauss-Markov model 5.3 Model selection methodology based on hypothesis testing 5.4 Comparison between B-splines and polynomial approximation 6 Conclusion and Outlook Contributions of Authors Paper 1 Paper 2 Paper 3 Paper 4 Bibliography Curriculum Vitae Acknowledgement , Zusammenfassung in Englisch und Deutsch
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  • 6
    Call number: S 99.0139(354)
    In: Wissenschaftliche Arbeiten der Fachrichtung Geodäsie und Geoinformatik der Leibniz Universität Hannover, Nr. 354
    Type of Medium: Series available for loan
    Pages: 155 Seiten , Illustrationen, Diagramme, Karten
    ISBN: 978-3-7696-5252-9 , 9783769652529
    ISSN: 0065-5325
    Series Statement: Wissenschaftliche Arbeiten der Fachrichtung Geodäsie und Geoinformatik der Leibniz Universität Hannover Nr. 354
    Language: English
    Note: Dissertation, Gottfried Wilhelm Leibniz Universität Hannover, 2019 , 1. Introduction 1.1. Research Objectives 1.2. Outline and Structure of the Thesis 2. Theoretical Background 2.1. Introduction 2.2. SAR Imaging 2.2.1. SAR Image Distortions 2.2.2. SAR Imaging Modes 2.2.3. SAR Missions 2.3. SAR Interferometry 2.3.1. InSAR Workflow 2.3.2. InSAR Decorrelation 2.3.3. Errors in InSAR 2.3.4. Examples of Interferograms 2.3.5. Decomposition of Line-of-Sight Measurements 2.4. Multi Temporal InSAR 2.4.1. Scattering Mechanisms in SAR Images 2.4.2. Interferogram Stacking 2.4.3. Persistent Scatterer InSAR 2.4.4. Small Baseline InSAR 2.5. Analysis of Displacement Time Series 2.5.1. Continuous Wavelet Transform 2.5.2. Cross Wavelet Transform 2.5.3. Application of CWT and XWT to InSAR Time Series 3. Methodological Contribution 37 3.1. Introduction 3.2. Challenges in Large-scale InSAR 3.3. Proposed Method 3.3.1. Interferogram Formation 3.3.2. Adaptive Correction of Interferograms 3.3.3. Estimating the Displacement Rate 3.3.4. Estimating the Time Series of Displacement 4. InSAR Monitoring of Localized Landslide in Taihape, New Zealand 4.1. Abstract 4.2. Introduction 4.3. Study Area 4.4. Methods 4.4.1. InSAR Measurement 4.4.2. Ancillary Data 4.4.3. Cause-Effect Analysis 4.5. Results 4.5.1. Small-baseline Interferograms 4.5.2. Time-series Results 4.6. Discussion 4.6.1. Suitability of InSAR Measurements for Monitoring the Taihape Landslide 4.6.2. Interpretation of InSAR Results 4.6.3. Comparison with Ground Truth 4.6.4. Comparison with Rainfall and Groundwater Level 4.7. Conclusion 4.8. Acknowledgments 4.9. Supplementary Materials 5. InSAR Measurement of Regional Land Subsidence in Tehran, Iran 5.1. Abstract 5.2. Introduction 5.3. Study Area and Problem Description 5.4. Datasets 5.4.1. SAR Data 5.4.2. Leveling 5.4.3. Groundwater Level 5.5. Methods 5.5.1. Multi-temporal InSAR Analysis 5.5.2. Merging InSAR Time Series 5.5.3. Cause-Effect Analysis 5.6. Results 5.6.1. Southwest of Tehran 5.6.2. IKA Airport 5.6.3. Varamin County 5.6.4. Time Series of Displacement 5.6.5. Accuracy, Precision and Consistency Assessments 5.7. Discussion 5.7.1. Structural Control of the Displacement 5.7.2. Comparison with Groundwater 5.7.3. Elastic vs. Inelastic Compaction 5.8. Conclusion 5.9. Acknowledgments 5.10. Supplementary materials 5.10.1. Significance of Tropospheric Delay 5.10.2. Decomposition of LOS Measurement 5.10.3. Under/Overestimation of Displacement Rates 6. Sentinel-1 InSAR Measurement of Anthropogenic Deformation in Germany 6.1. Summary 6.2. Introduction 6.3. Sentinel-1 InSAR Processing 6.4. Large-scale Sentinel-1 Processing 6.5. Anthropogenic Ground Motion in Berlin 6.6. Mining-induced Deformation in Leipzig 6.7. Conclusions and Prospect 6.8. Acknowledgements 7. Subsequent Work: Measurement of Localized Deformations over Extensive Areas 7.1. Introduction 7.2. SAR Datasets 7.3. Sentinel-1 Interferograms 7.4. Corrected Interferograms 7.5. Displacement Maps and Time Series 7.6. Discussion 7.7. Conclusion 8. Cooperation Works 8.1. Quantifying Land Subsidence in the Rafsanjan Plain, Iran Using InSAR Measurements 8.1.1. Abstract 8.1.2. Author Contribution 8.2. Characterizing Post-construction Settlement of Masjed-Soleyman Dam Using TerraSAR-X SpotLight InSAR 8.2.1. Abstract 8.2.2. Author Contribution 8.3. InSAR Observation of the 18 August 2014 Mormori (Iran) Earthquake 8.3.1. Author Contribution 9. Summary and Future Work 9.1. Future works , Zusammenfassung in Englisch und Deutsch Seite 3-6
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