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Geodetic Time Series Analysis in Earth Sciences

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Cover of 'Geodetic Time Series Analysis in Earth Sciences'

Table of Contents

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    Book Overview
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    Chapter 1 The Art and Science of Trajectory Modelling
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    Chapter 2 Introduction to Geodetic Time Series Analysis
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    Chapter 3 Markov Chain Monte Carlo and the Application to Geodetic Time Series Analysis
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    Chapter 4 Introduction to Dynamic Linear Models for Time Series Analysis
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    Chapter 5 Fast Statistical Approaches to Geodetic Time Series Analysis
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    Chapter 6 Least Squares Contribution to Geodetic Time Series Analysis
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    Chapter 7 Modelling the GNSS Time Series: Different Approaches to Extract Seasonal Signals
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    Chapter 8 Stochastic Modelling of Geophysical Signal Constituents Within a Kalman Filter Framework
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    Chapter 9 Filtering of GPS Time Series Using Geophysical Models and Common Mode Error Analysis
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    Chapter 10 Comparison of Spacewise and Timewise Methods for GRACE Gravity Field Recovery
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    Chapter 11 Estimation of the Vertical Land Motion from GNSS Time Series and Application in Quantifying Sea-Level Rise
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    Chapter 12 Time Series Analysis of Rapid GNSS Measurements for Quasi-static and Dynamic Bridge Monitoring
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    Chapter 13 Conclusions and Future Challenges in Geodetic Time Series Analysis
Attention for Chapter 10: Comparison of Spacewise and Timewise Methods for GRACE Gravity Field Recovery
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Chapter title
Comparison of Spacewise and Timewise Methods for GRACE Gravity Field Recovery
Chapter number 10
Book title
Geodetic Time Series Analysis in Earth Sciences
Published by
Springer, Cham, August 2019
DOI 10.1007/978-3-030-21718-1_10
Book ISBNs
978-3-03-021717-4, 978-3-03-021718-1
Authors

Neda Darbeheshti, Florian Wöske, Matthias Weigelt, Hu Wu, Christopher Mccullough, Darbeheshti, Neda, Wöske, Florian, Weigelt, Matthias, Wu, Hu, Mccullough, Christopher

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 100%
Readers by discipline Count As %
Environmental Science 1 50%
Earth and Planetary Sciences 1 50%

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