Global Gravity Field Modeling From Satellite To Satellite Tracking Data
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Global Gravity Field Modeling from Satellite-to-Satellite Tracking Data
This book provides a sound theoretical basis for the the different gravity field recovery methods and the numerics of satellite-to-satellite tracking data. It represents lectures given at the ‘Wilhelm and Else Heraeus Autumn School’ in Bad Honnef, Germany, October 4-9, 2015. The emphasis of the school was on providing a sound theoretical basis for the different gravity field recovery methods and the numerics of data analysis. The approaches covered here are the variational equations (classical approach), the acceleration approach and the energy balance approach, all of which are used for global gravity field recovery on the basis of satellite observations. The theory of parameter estimation in satellite gravimetry and concepts for orbit determination are also included. The book guides readers through a broad range of topics in satellite gravimetry, supplemented by the necessary theoretical background and numerical examples. While it provides a comprehensive overview for those readers who are already familiar with satellite gravity data processing, it also offers an essential reference guide for graduate and undergraduate students interested in this field.
Global Gravity Field Recovery from Satellite-to-satellite Tracking Data with the Acceleration Approach
Author: Xianglin Liu
language: en
Publisher: Netherlands Geodetic Commission
Release Date: 2008
Contents Abstract xi Samenvatting xv Curriculum vitae xix Acknowledgements xxii 1. Introduction 1 2. Gravity field modeling from SST data: an overview 9 3. Gravity field modeling from CHAMP data 53 4. Gravity field modeling from GRACE hl-SST data 81 5. Gravity field modeling from GRACE ll-SST data 91 6. Analysis of results obtained from the 3RC approach 133 7. Summary, conclusions and recommendations 203 Bibliography 209 A. Autocorrelation 223 B. Gaussian Filtering 225
Earth Gravity Field from Space - from Sensors to Earth Sciences
Author: G. Beutler
language: en
Publisher: Springer Science & Business Media
Release Date: 2013-04-18
Volume resulting from an ISSI Workshop, 11-15 March 2002, Bern, Switzerland