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Note: Intro -- Preface -- Contents -- About the Authors -- Prologue -- 1: Introduction -- 1.1 The Earth: A Dynamic Planet -- 1.2 Earth System, Climate Change and Society -- 1.3 Geodynamic Processes: Very Different Speed -- 1.4 Global Measurement of the Earth -- Geometry and Kinematics -- Orientation and Rotation -- Gravity Field -- 2: The Measurement of the Earth Through Time -- 2.1 Introduction -- 2.2 The Origins of Surveying -- 2.3 Ancient Greece: From the Disk to the Spherical Earth -- 2.4 Surveying Skills in the Roman Empire -- 2.5 More Than a Change of Perspective: The Difficult Transition from the Geocentric to the Heliocentric World System -- 2.6 The Physics of the Universe: From Newton to Einstein -- 2.7 Is the Earth Round Like a Sphere?: The Bitter Dispute About the Figure of the Earth -- 2.8 Triangle by Triangle: The First Nationwide Survey of Germany -- 2.9 Geodesy on the Way to an International Science -- 2.10 First Satellite Launch in 1957: The Beginning of a New Era -- 3: Geodesy in the Twenty-First Century: Global Reference Systems and Modern Geodetic Observation Techniques -- 3.1 Introduction -- 3.2 We Need a Global Reference: The Central Importance of Highly Accurate Reference Systems -- 3.3 Positioning in Seconds and with Millimeter Accuracy: The Potential of Global Satellite Navigation Systems -- 3.4 Messages from the Edge of the Universe: Measuring the Earth Using Signals from Distant Galaxies -- 3.5 Measuring Objects in the Sky: Laser Distance Measurements to Satellites and the Moon -- Space Segment -- Ground Segment -- SLR Measurements -- International Organization of the SLR Activities -- 3.6 Measuring Sea Level and Ice Cover from Space -- 3.7 Newton's Law of Gravity: What Information Do We Know About the Earth's Gravitational Field and Mass Distribution? -- From Apples to Gravity. , The Earth's Gravitational Field -- Gravity Field and Height -- Gravity Field and Ocean -- Time Variations of the Earth Gravity Field -- 3.8 Observing the Gravity Field by Means of Satellites -- Satellite Observation Concepts -- Satellite Missions -- 3.9 Surveying the World from the Bavarian Forest: The Geodetic Observatory Wettzell -- 4: Our Planet in the Focus: Phenomena of Global Change -- 4.1 Introduction -- 4.2 "Eppure si muove": Dynamic Processes of the Solid Earth -- Processes Inside the Earth -- Plate Tectonics -- Earthquakes -- 4.3 Tsunamis: The Unimaginable Huge Power of Water -- Causes and Formation of Tsunamis -- The Physics of a Tsunami -- Tsunami Early Warning Systems -- 4.4 How Is Sea Level Changing? -- Sea Level Rise: True or false? -- Contributions to Sea Level Rise -- Fingerprint of Sea Level Rise -- Absolute Versus Relative Sea Level -- Effects and Prospects -- 4.5 How Large Is the Ice Loss in Greenland and Antarctica? -- Eternal Ice? -- Processes of Change of Ice Sheets -- Measuring Ice Mass Balances -- Ice Mass Changes in Greenland and Antarctica -- 4.6 Hydrogeodesy: How Can We Track Water? -- Is Enough Water for Everyone? -- Global Water Cycle and Water Mass Balance -- Hydrological Models and/or Geodetic Observation -- Inland Altimetry and Remote Sensing for Monitoring Lakes and River Systems -- Water: Blessing or Danger? Droughts, Floods and Water Resource Management -- 4.7 The Rotation of the Earth: Our Tumbling in Space and Our Annual Journey Around the Sun -- 5: Societal Relevance of Geodetic Earth Observation -- 5.1 Introduction -- 5.2 Mobile World: Navigation Systems in a Modern Society -- 5.3 Interconnected World: The Holistic View of the Earth System -- 5.4 Endangered World: Alarming Signals of Climate Change -- Epilogue -- Acknowledgements -- Recommended Reading -- Index.

Note: Intro -- Preface -- Contents -- Part I Uncertainty Modeling of Geodetic Data -- Modeling Data Quality Using Artificial Neural Networks -- 1 Introduction -- 2 Data Quality Propagation with Artificial Neural Networks -- 3 Propagation of Data Quality for Polar Point Determination -- 4 Propagation of Data Quality for Mobile Phone Positioning -- Conclusion -- References -- Magic Square of Real Spectral and Time Series Analysis with an Application to Moving Average Processes -- 1 Introduction -- 2 Basic Elements of Stochastic Processes -- 3 Magic Square for Covariance-Stationary, Discrete-Time Processes -- 3.1 Time Domain (Left-Hand Side) -- Example: MA(q) Process -- 3.2 Frequency Domain (Right-Hand Side) -- Example: MA(q) Process -- 3.3 Transitions Between the Time and Frequency Domain -- Example: MA(q) Process -- Conclusion and Outlook -- References -- Describing the Quality of Inequality Constrained Estimates -- 1 Introduction and Motivation -- 2 Background -- 3 MC-QP Method -- 3.1 Propagation of the Probability Density -- 3.2 Confidence Regions (HPD Regions) -- 3.3 Influence of the Constraints -- 4 Case Study -- 5 Summary and Outlook -- References -- GNSS Integer Ambiguity Validation Procedures: Sensitivity Analysis -- 1 Introduction -- 2 Ambiguity Estimation and Validation Procedure -- 2.1 Ambiguity Estimation -- 2.2 Ambiguity Validation with W-Ratio Test -- 3 Sensitivity Analysis for the Validation Tests -- 3.1 Description of Test Data Sets and Data Processing -- 3.2 Impact of Undetected Outliers -- 3.3 Impact of Stochastic Modeling -- 3.4 Satellite Configurations -- Concluding Remarks -- References -- Optimal Design of Deformation Monitoring Networks Using the Global Optimization Methods -- 1 Introduction -- 2 The Optimal Design Problem -- 3 The Shuffled Frog Leaping Algorithm -- 4 An Example -- Conclusions -- References. , Part II Theoretical Studies on Combination Strategies and Parameter Estimation -- Towards the Combination of Data Sets from Various Observation Techniques -- 1 Introduction -- 2 Gauss-Markov Model -- 3 Combination Models -- 4 Numerical Example -- 5 Multi-scale Combination -- Conclusion -- References -- On the Weighted Total Least Squares Solutions -- 1 Introduction -- 2 Mathematical Models of the TLS Problem -- 3 The Weighted TLS Solutions -- 3.1 Solutions Using Lagrange Multipliers -- 3.2 Solutions Using the GHM Method -- 3.3 Solutions Using the Gradient -- 4 Test Results -- Conclusions and Further Work -- Appendix -- References -- Integration of Observations and Models in a Consistent Least Squares Adjustment Model -- 1 Introduction -- 2 Integration in a Least Squares Adjustment Model -- 2.1 Functional Model -- 2.2 Stochastic Model -- 2.3 Linear Least Squares Adjustment -- 3 Example -- Conclusions and Outlook -- References -- Comparison of Different Combination Strategies Applied for the Computation of Terrestrial Reference Frames and Geodetic Parameter Series -- 1 Introduction -- 2 Least Squares Adjustment by Gauß-Markov Model -- 3 Combination Strategies -- 3.1 Combination on Observation Level -- 3.2 Combination on Normal Equation Level -- 3.3 Combination on Parameter Level -- 4 Comparison of the Different Combination Strategies -- 5 Combination in the Geodetic Practice: The Realization of ITRS -- Summary and Conclusions -- References -- W-Ratio Test as an Integer Aperture Estimator: Pull-in Regions and Ambiguity Validation Performance -- 1 Introduction -- 2 Parameter Estimation -- 3 W-Ratio Statistical Test -- 4 W-Ratio as an Integer Aperture Estimator -- 5 Numerical Analysis -- Concluding Remarks -- References -- Performing 3D Similarity Transformation Using the Weighted Total Least-Squares Method -- 1 Introduction. , 2 Nonlinear 3D Similarity Transformation -- 3 The Nonlinear 3D Similarity Transformation Solved by the Solution Within the Nonlinear GH Model -- 4 Case Study -- Concluding Remarks -- References -- Comparison of SpatialAnalyzer and Different Adjustment Programs -- 1 Introduction -- 2 Net Adjustment -- 2.1 SpatialAnalyzer -- 2.2 Network -- 2.3 Results -- 3 Form Fitting -- Conclusion -- References -- Part III Recursive State-Space Filtering -- State-Space Filtering with Respect to Data Imprecision and Fuzziness -- 1 Introduction -- 2 Modeling of Imprecision and Fuzziness -- 2.1 Sources of Uncertainty -- 2.2 Modeling of Uncertainty -- 3 Introduction to State-Space Filtering -- 3.1 System and Measurement Equation -- 3.2 Extended Kalman Filter -- 4 Imprecise Filter Extension -- 4.1 General Case -- 4.2 KF with Imprecise and Fuzzy Data -- 5 Example for Imprecise Kalman Filtering -- Conclusions -- References -- Unscented Kalman Filter Algorithm with Colored Noise and Its Application in Spacecraft Attitude Estimation -- 1 Introduction -- 2 Mathematical Model of Satellite Attitude -- 2.1 Quaternion in Satellite Attitude -- 2.2 Nonlinear Model of the Satellite Attitude -- 3 UKF Algorithm -- 4 Series Representation of Colored Noise and Its Variance Calculation -- 5 Test Computation and Analysis -- Concluding Remarks -- References -- Principles and Comparisons of Various Adaptively Robust Filters with Applications in Geodetic Positioning -- 1 Introduction -- 2 Principle of Adaptive Filtering -- 2.1 Principle of Fading Kalman Filter -- 2.2 Principle of Sage Windowing Filter -- 2.3 Principle of Robust Filter -- 2.4 Adaptively Robust Filter -- 3 Design of the Adaptive Factors -- 3.1 Fading Factors -- 3.2 Robust Weight Element -- 3.3 Adaptive Factors -- 4 Computations and Comparisons -- Concluding Remarks -- References. , Alternative Nonlinear Filtering Techniques in Geodesy for Dual State and Adaptive Parameter Estimation -- 1 Introduction -- 2 Nonlinear State Estimation -- 2.1 The Probabilistic Inference -- 2.2 The Bayes Filter -- 2.3 The Extended Kalman Particle Filter -- 2.4 Combined Parameter and State Estimation in EKPF Algorithm -- 3 Numerical Applications -- 3.1 Tracking of a Nonlinear Trajectory -- 3.2 Tracking of a Nonlinear Trajectory -- Conclusion -- References -- Part IV Sensor Networks and Multi Sensor Systems in Engineering Geodesy -- Parametric Modeling of Static and Dynamic Processes in Engineering Geodesy -- 1 Introduction -- 2 Parametric Modeling of Deformation Processes -- 3 Case Study: The Mass Movement `Steinlehnen' -- 3.1 Monitoring System -- 3.2 Parametric Slope Model -- 4 Parametric Identification of a Simplified Scarp -- 4.1 Static Example -- 4.2 Dynamic Example -- Conclusions -- References -- Land Subsidence in Mahyar Plain, Central Iran, Investigated Using EnvisatSAR Data -- 1 Introduction -- 2 Study Area -- 3 Methodology -- 4 Experimental Results and Analysis -- 4.1 InSAR Result -- 4.2 Earth Fissures -- 4.3 Piezometric Records -- Conclusions -- References -- Recent Impacts of Sensor Network Technology on Engineering Geodesy -- 1 Introduction -- 2 Geo Sensor Network Technology -- 2.1 General Statements -- 2.2 Sensing -- 2.3 Communication -- 2.4 Network Operating -- 3 Selected Aspects -- 3.1 Calibration of Motes: An Example -- 3.2 Carrier Phase Based Positioning Using Simple Navigation Receivers -- Conclusion and Outlook -- References -- Design of Artificial Neural Networks for Change-Point Detection -- 1 Introduction -- 2 Artificial Neural Networks -- 3 Change-Point Detection by ANN -- 4 Results and Practical Considerations -- 5 Summary and Outlook -- References. , Spatial and Temporal Kinematics of the Inylchek Glacier in Kyrgyzstan Derived from Landsat and ASTER Imagery -- 1 Introduction -- 2 Data and Methodology -- 2.1 ASTER Imagery -- 2.2 Landsat Imagery -- 3 Results -- Conclusion -- References -- Response Automation in Geodetic Sensor Networks by Means of BayesianNetworks -- 1 Introduction -- 2 State Description -- 3 Bayesian Networks for the Assessment of Events -- 4 Soft Evidence by Kalman Filter -- 5 Simulation Results -- Conclusion -- References -- Efficiency Optimization of Surveying Processes -- 1 Introduction -- 2 Process Modeling and Simulation -- 2.1 Elements of a Petri Net -- 2.2 Timed Petri Nets -- 2.3 Run of a Petri Net -- 3 Optimization -- 4 Time Model -- 5 Numerical Study and Results -- 6 Summary and Outlook -- References -- Modeling and Propagation of Quality Parameters in Engineering Geodesy Processes in Civil Engineering -- 1 Introduction -- 2 Quality Model -- 2.1 Fundamentals -- 2.2 Exemplary Parameters -- 3 Quality Propagation Methods -- 3.1 General -- 3.2 Standard Deviation -- 3.3 Tolerance Correctness -- 4 Simulation Results -- 4.1 Example: Basement Walls -- 4.2 Different Simulation Scenarios -- Conclusions -- References -- Part V Multi-Mission Approaches with View to Physical Processes in the Earth System -- Completion of Band-Limited Data Sets on the Sphere -- 1 Introduction -- 2 Stochastic Processes on the Sphere -- 3 Model Building and Separability -- 4 Application and Simulations -- Summary and Conclusions -- Appendix -- Expectation and Variance of a Stochastic Process in Amplitude/Phase Notation on the Sphere -- References -- List of Reviewers -- Author Index.

Note: nIndex p. 99 - 101. - Differences between the printed and electronic version of the document are possible , Also available as printed version , Zugl.: München, Techn. Univ., Diplomarbeit, 2000 , Systemvoraussetzungen: Acrobat reader.