Format:
1 Online-Ressource (XXI, 422 p. 252 illus., 234 illus. in color)
Edition:
1st ed. 2020
ISBN:
9783030217181
Series Statement:
Springer Geophysics
Content:
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
Content:
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
Additional Edition:
ISBN 9783030217174
Additional Edition:
Erscheint auch als Druck-Ausgabe ISBN 978-3-030-21717-4
Language:
English
DOI:
10.1007/978-3-030-21718-1
