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Geodetic Time Series Analysis in Earth Sciences
This book provides an essential appraisal of the recent advances in technologies, mathematical models and computational software used by those...
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Comparison of Spacewise and Timewise Methods for GRACE Gravity Field Recovery
Historically, there have been two fundamental views, timewise and spacewise, to recover the Earth’s gravity field using satellite observations. This...
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Time Series Analysis of Rapid GNSS Measurements for Quasi-static and Dynamic Bridge Monitoring
Since 1996, GPS and GNSS have been used to measure position and time on large structures, notably long span bridges. Receivers act simultaneously as...
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Correction to: Geodetic Time Series Analysis in Earth Sciences
In the original version of the book, the following belated corrections have been incorporated: Electronic Supplementary Materials have been included...
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Introduction to Dynamic Linear Models for Time Series Analysis
Dynamic linear models (DLM) offer a very generic framework to analyse time series data. Many classical time series models can be formulated as DLMs,...
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Filtering of GPS Time Series Using Geophysical Models and Common Mode Error Analysis
In the previous chapters we have discussed various methods to estimate the parameters of the trajectory models for geodetic time series. The...
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Introduction to Geodetic Time Series Analysis
The previous chapter gave various examples of geophysical time series and the various trajectory models that can be fitted to them. In this chapter...
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Estimation of the Vertical Land Motion from GNSS Time Series and Application in Quantifying Sea-Level Rise
Sea-level rise observed at tide gauges must be corrected for vertical land motion, observed with GNSS, to obtain the absolute sea-level rise with...
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Least Squares Contribution to Geodetic Time Series Analysis
This chapter introduces the least squares framework to the analysis of geodetic time series. The geodetic time series analysis is based on the...
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Conclusions and Future Challenges in Geodetic Time Series Analysis
As stated in the preface, the primary aim of this book is to show various methods of fitting trajectory models to geodetic time series. Chapters...
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Modelling the GNSS Time Series: Different Approaches to Extract Seasonal Signals
Seasonal signatures observed within the Global Navigation Satellite System (GNSS) position time series are routinely modelled as annual and...
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Stochastic Modelling of Geophysical Signal Constituents Within a Kalman Filter Framework
Reliable trend estimation is of great importance while analyzing data. This importance is even enhanced when using the estimated trends for...
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The Art and Science of Trajectory Modelling
Coordinate time series are, by definition, trajectories, so the kinematic models that geodesists and geophysicists use to describe these time series...
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Markov Chain Monte Carlo and the Application to Geodetic Time Series Analysis
The time evolution of geophysical phenomena can be characterised by stochastic time series. The stochastic nature of the signal stems from the...
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Fast Statistical Approaches to Geodetic Time Series Analysis
We present fast algorithms for estimating common parameters in geodetic time series based on statistical approaches to assess the impact of temporal...
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An ontological architecture for orbital debris data
The orbital debris problem presents an opportunity for international cooperation toward the mutually beneficial goals of orbital debris...
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Formalizing the semantics of sea ice
We have initiated a project aimed at enhancing interdisciplinary understanding and usability of polar data by diverse communities. We have produced...
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Measurement and Analysis of Urban Growth
The process of map** urban growth results in the creation of abstracted and highly-simplified change maps of the study area (as shown in Fig. 5.5)....
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Urban Growth and Sprawl
Urban geography is the study of urban areas in terms of population concentration, infrastructure, economy and environmental impacts. The study of...
