Overview

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.

Full Product Details

Author:   Jean-Philippe Montillet ,  Machiel S. Bos
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2020
Weight:   0.834kg
ISBN:  

9783030217174

ISBN 10:   3030217175
Pages:   422
Publication Date:   30 August 2019
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand  
We will order this item for you from a manufactured on demand supplier.

Table of Contents

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.

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