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.
The Art and Science of Trajectory Modelling.- Introduction to Geodetic
Time Series Analysis.- Markov Chain Monte Carlo and The Application to
Geodetic Time Series Analysis.- Introduction to Dynamic Linear Models for
Time Series Analysis.- Fast Statistical Approaches to Geodetic Time Series
Analysis.- Least Squares Contribution to Geodetic Time Series
Analysis.- Modelling the GNSS Time Series: Different Approaches to Extract
Seasonal Signals.- Stochastic modelling of geophysical signal constituents
within a Kalman Filter framework.- Filtering of GPS Time Series Using
Geophysical Models and Common Mode Error Analysis.- Comparison of Spacewise
and Timewise Methods for GRACE Gravity Field Recovery.- Estimation of the
Vertical Land Motion from GNSS Time Series and Application in Quantifying
Sea-Level Rise.- Time Series Analysis of Rapid GNSS Measurements for
Quasi-Static and Dynamic Bridge Monitoring.- Conclusions and Future
challenges in Geodetic Time Series Analysis.
