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Geodetic Time Series Analysis in Earth Sciences

  • Book
  • © 2020

Overview

Editors:
  1. Jean-Philippe Montillet

    1. Space and Earth Geodetic Analysis Laboratory, Universidade da Beira Interior, Covilha, Portugal

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    You can also search for this editor in PubMed   Google Scholar

  2. Machiel S. Bos

    1. Instituto Dom Luiz, Universidade da Beira Interior, Covilha, Portugal

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • Summarizes the technologies and space missions and the rapid advances in geodesy associated with them
  • Provides an overview of current standards of geodetic time series measurements and analysis
  • Contains overview of geodetic software and where to obtain them

Part of the book series: Springer Geophysics (SPRINGERGEOPHYS)

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Table of contents (14 chapters)

  1. Front Matter

    Pages i-xxi
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  2. The Art and Science of Trajectory Modelling

    • Michael Bevis, Jonathan Bedford, Dana J. Caccamise II
    Pages 1-27

  3. Introduction to Geodetic Time Series Analysis

    • Machiel S. Bos, Jean-Philippe Montillet, Simon D. P. Williams, Rui M. S. Fernandes
    Pages 29-52

  4. Markov Chain Monte Carlo and the Application to Geodetic Time Series Analysis

    • German Olivares-Pulido, Felix Norman Teferle, Addisu Hunegnaw
    Pages 53-138

  5. Introduction to Dynamic Linear Models for Time Series Analysis

    • Marko Laine
    Pages 139-156

  6. Fast Statistical Approaches to Geodetic Time Series Analysis

    • Michael A. Floyd, Thomas A. Herring
    Pages 157-183

  7. Least Squares Contribution to Geodetic Time Series Analysis

    • Alireza Amiri-Simkooei
    Pages 185-209

  8. Modelling the GNSS Time Series: Different Approaches to Extract Seasonal Signals

    • Anna Klos, Janusz Bogusz, Machiel S. Bos, Marta Gruszczynska
    Pages 211-237

  9. Stochastic Modelling of Geophysical Signal Constituents Within a Kalman Filter Framework

    • Olga Engels
    Pages 239-260

  10. Filtering of GPS Time Series Using Geophysical Models and Common Mode Error Analysis

    • Xiaoxing He, Jean-Philippe Montillet, Machiel S. Bos, Rui M. S. Fernandes, Weiping Jiang, Kegen Yu
    Pages 261-278

  11. Comparison of Spacewise and Timewise Methods for GRACE Gravity Field Recovery

    • Neda Darbeheshti, Florian Wöske, Matthias Weigelt, Hu Wu, Christopher Mccullough
    Pages 279-315

  12. Estimation of the Vertical Land Motion from GNSS Time Series and Application in Quantifying Sea-Level Rise

    • Jean-Philippe Montillet, Machiel S. Bos, Timothy I. Melbourne, Simon D. P. Williams, Rui M. S. Fernandes, Walter M. Szeliga
    Pages 317-344

  13. Time Series Analysis of Rapid GNSS Measurements for Quasi-static and Dynamic Bridge Monitoring

    • Gethin Wyn Roberts, Xiaolin Meng, Panos Psimoulis, Christopher J. Brown
    Pages 345-417

  14. Conclusions and Future Challenges in Geodetic Time Series Analysis

    • Jean-Philippe Montillet, Machiel S. Bos
    Pages 419-422

  15. Correction to: Geodetic Time Series Analysis in Earth Sciences

    • Jean-Philippe Montillet, Machiel S. Bos
    Pages C1-C1
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Keywords

About this book

This book provides an essential appraisal of the recent advances in technologies, mathematical models and computational software used by those working with geodetic data. It explains the latest methods in processing and analyzing geodetic time series data from various space missions (i.e. GNSS, GRACE) and other technologies (i.e. tide gauges), using the most recent mathematical models. The book provides practical examples of how to apply these models to estimate seal level rise as well as rapid and evolving land motion changes due to gravity (ice sheet loss) and earthquakes respectively. It also provides a necessary overview of geodetic software and where to obtain them.

Editors and Affiliations

  • Space and Earth Geodetic Analysis Laboratory, Universidade da Beira Interior, Covilha, Portugal

    Jean-Philippe Montillet

  • Instituto Dom Luiz, Universidade da Beira Interior, Covilha, Portugal

    Machiel S. Bos

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