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  • 1
    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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  • 2
    Call number: M 17.90395
    Type of Medium: Monograph available for loan
    Pages: XI, 88 S. , graph. Darst.
    Classification:
    Photogrammetry, Remote Sensing
    Language: English
    Note: @Potsdam, Univ., Diss., 2007
    Location: Upper compact magazine
    Branch Library: GFZ Library
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  • 3
    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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  • 4
    Publication Date: 2006
    Keywords: Crustal deformation (cf. Earthquake precursor: deformation or strain) ; Geodesy ; Earthquake ; Source parameters ; Iran ; SAR ; PAG ; MMOTAGH ; FROTH
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  • 5
    Publication Date: 2013-09-10
    Description: The Rational Function Model (RFM) has been widely used as an alternative to rigorous sensor models of high-resolution optical imagery in photogrammetry and remote sensing geometric processing. However, not much work has been done to evaluate the applicability of the RF model for Synthetic Aperture Radar (SAR) image processing. This paper investigates how to generate a Rational Polynomial Coefficient (RPC) for high-resolution TerraSAR-X imagery using an independent approach. The experimental results demonstrate that the RFM obtained using the independent approach fits the Range-Doppler physical sensor model with an accuracy of greater than 10−3 pixel. Because independent RPCs indicate absolute errors in geolocation, two methods can be used to improve the geometric accuracy of the RFM. In the first method, Ground Control Points (GCPs) are used to update SAR sensor orientation parameters, and the RPCs are calculated using the updated parameters. Our experiment demonstrates that by using three control points in the corners of the image, an accuracy of 0.69 pixels in range and 0.88 pixels in the azimuth direction is achieved. For the second method, we tested the use of an affine model for refining RPCs. In this case, by applying four GCPs in the corners of the image, the accuracy reached 0.75 pixels in range and 0.82 pixels in the azimuth direction.
    Electronic ISSN: 1424-8220
    Topics: Chemistry and Pharmacology , Electrical Engineering, Measurement and Control Technology
    Published by MDPI Publishing
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  • 6
    Publication Date: 2015-06-26
    Description: Interferometric Synthetic Aperture Radar (InSAR) capability to detect slow deformation over terrain areas is limited by temporal decorrelation, geometric decorrelation and atmospheric artefacts. Multitemporal InSAR methods such as Persistent Scatterer (PS-InSAR) and Small Baseline Subset (SBAS) have been developed to deal with various aspects of decorrelation and atmospheric problems affecting InSAR observations. Nevertheless, the applicability of both PS-InSAR and SBAS in mountainous regions is still challenging. Correct phase unwrapping in both methods is hampered due to geometric decorrelation in particular when using C-band SAR data for deformation analysis. In this paper, we build upon the SBAS method implemented in StaMPS software and improved the technique, here called ISBAS, to assess tectonic and volcanic deformation in the center of the Alborz Mountains in Iran using both Envisat and ALOS SAR data. We modify several aspects within the chain of the processing including: filtering prior to phase unwrapping, topographic correction within three-dimensional phase unwrapping, reducing the atmospheric noise with the help of additional GPS data, and removing the ramp caused by ionosphere turbulence and/or orbit errors to better estimate crustal deformation in this tectonically active region. Topographic correction is done within the three-dimensional unwrapping in order to improve the phase unwrapping process, which is in contrast to previous methods in which DEM error is estimated before/after phase unwrapping. Our experiments show that our improved SBAS approach is able to better characterize the tectonic and volcanic deformation in the center of the Alborz region than the classical SBAS. In particular, Damavand volcano shows an average uplift rate of about 3 mm/year in the year 2003–2010. The Mosha fault illustrates left-lateral motion that could be explained with a fault that is locked up to 17–18 km depths and slips with 2–4 mm/year below that depth.
    Electronic ISSN: 2072-4292
    Topics: Architecture, Civil Engineering, Surveying , Geography
    Published by MDPI Publishing
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  • 7
    Publication Date: 2016-06-03
    Description: Beijing is one of the most water-stressed cities in the world. Due to over-exploitation of groundwater, the Beijing region has been suffering from land subsidence since 1935. In this study, the Small Baseline InSAR technique has been employed to process Envisat ASAR images acquired between 2003 and 2010 and TerraSAR-X stripmap images collected from 2010 to 2011 to investigate land subsidence in the Beijing region. The maximum subsidence is seen in the eastern part of Beijing with a rate greater than 100 mm/year. Comparisons between InSAR and GPS derived subsidence rates show an RMS difference of 2.94 mm/year with a mean of 2.41 ± 1.84 mm/year. In addition, a high correlation was observed between InSAR subsidence rate maps derived from two different datasets (i.e., Envisat and TerraSAR-X). These demonstrate once again that InSAR is a powerful tool for monitoring land subsidence. InSAR derived subsidence rate maps have allowed for a comprehensive spatio-temporal analysis to identify the main triggering factors of land subsidence. Some interesting relationships in terms of land subsidence were found with groundwater level, active faults, accumulated soft soil thickness and different aquifer types. Furthermore, a relationship with the distances to pumping wells was also recognized in this work.
    Electronic ISSN: 2072-4292
    Topics: Architecture, Civil Engineering, Surveying , Geography
    Published by MDPI Publishing
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  • 8
    Publication Date: 2015-07-17
    Description: This study focuses on evaluating the potential of ALOS/PALSAR time-series data to analyze the activation of deep-seated landslides in the foothill zone of the high mountain Alai range in the southern Tien Shan (Kyrgyzstan). Most previous field-based landslide investigations have revealed that many landslides have indicators for ongoing slow movements in the form of migrating and newly developing cracks. L-band ALOS/PALSAR data for the period between 2007 and 2010 are available for the 484 km2 area in this study. We analyzed these data using the Small Baseline Subset (SBAS) time-series technique to assess the surface deformation related to the activation of landslides. We observed up to ±17 mm/year of LOS velocity deformation rates, which were projected along the local steepest slope and resulted in velocity rates of up to −63 mm/year. The obtained rates indicate very slow movement of the deep-seated landslides during the observation time. We also compared these movements with precipitation and earthquake records. The results suggest that the deformation peaks correlate with rainfall in the 3 preceding months and with an earthquake event. Overall, the results of this study indicated the great potential of L-band InSAR time series analysis for efficient spatiotemporal identification and monitoring of slope activations in this region of high landslide activity in Southern Kyrgyzstan.
    Electronic ISSN: 2072-4292
    Topics: Architecture, Civil Engineering, Surveying , Geography
    Published by MDPI Publishing
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  • 9
    Publication Date: 2014-01-15
    Description: Mountain chains of Central Asia host a large number of glaciated areas that provide critical water supplies to the semi-arid populated foothills and lowlands of this region. Spatio-temporal variations of glacier flows are a key indicator of the impact of climate change on water resources as the glaciers react sensitively to climate. Satellite remote sensing using optical imagery is an efficient method for studying ice-velocity fields on mountain glaciers. In this study, temporal and spatial changes in surface velocity associated with the Inylchek glacier in Kyrgyzstan are investigated. We present a detailed map for the kinematics of the Inylchek glacier obtained by cross-correlation analysis of Landsat images, acquired between 2000 and 2011, and a set of ASTER images covering the time period between 2001 and 2007. Our results indicate a high-velocity region in the elevated part of the glacier, moving up to a rate of about 0.5 m/day. Time series analysis of optical data reveals some annual variations in the mean surface velocity of the Inylchek during 2000–2011. In particular, our findings suggest an opposite trend between periods of the northward glacial flow in Proletarskyi and Zvezdochka glacier, and the rate of westward motion observed for the main stream of the Inylchek.
    Electronic ISSN: 2072-4292
    Topics: Architecture, Civil Engineering, Surveying , Geography
    Published by MDPI Publishing
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  • 10
    Publication Date: 2014-11-01
    Description: The city of Staufen im Breisgau in southwest Germany suffers from a localized land uplift, which has occurred in the past six years in relation to geothermal drilling activities in 2007. So far, severe damages at 269 buildings have been recorded. The chemical transformation of anhydrite and water to gypsum, resulting in a volume increase, has been attributed as the cause of the uplift. Previous studies provide knowledge on the spatio-temporal displacement evolution from 2008 through 2011 using leveling and spaceborne Synthetic Aperture Radar Interferometry (InSAR) measurements, but lack a detailed representation of vertical and horizontal displacement contributions as well as geophysical modeling. This study focuses not only on continued observation analysis from June 2011 through July 2013, but also on obtaining and evaluating horizontal displacements in Staufen based on combined analysis of TerraSAR-X satellite imagery from both ascending and descending orbits. Applying the Small BAseline Subset (SBAS) approach a deceleration of annual cumulative line of sight (LOS) uplift is observable from 13.8 cm ± 0.3 cm (July 2008–July 2009) to 3 cm ± 0.3 cm (July 2012–July 2013) within area of maximum deformation NNE of the drilling zone. Conducting displacement decomposition on ascending and descending data of a common period (October 2012 through July 2013) yields in an approximately symmetric east- and westward motion with maximum values approximately 1 cm and 1.4 cm, respectively. The joint inversion of ascending and descending InSAR data for the common period from October 2012 through July 2013 shows that a horizontal rectangular source with length, width and depth of 177 m ± 19 m, 69 m ± 15 m and 89 m ± 9 m, respectively, can satisfactorily model the observation. The amount of opening at depth shows a decrease in time by about 71% for the period 2011–2012 as compared to period 2008–2009.
    Electronic ISSN: 2072-4292
    Topics: Architecture, Civil Engineering, Surveying , Geography
    Published by MDPI Publishing
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