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Global Gravity Field Modeling from Satellite-to-Satellite Tracking Data

  • Majid Naeimi
  • Jakob Flury

Part of the Lecture Notes in Earth System Sciences book series (LNESS)

Table of contents

  1. Front Matter
    Pages i-xv
  2. Jürgen Kusche, Anne Springer
    Pages 1-34
  3. Adrian Jäggi, Daniel Arnold
    Pages 35-80
  4. Srinivas Bettadpur, Christopher McCullough
    Pages 81-95
  5. Matthias Weigelt
    Pages 97-126
  6. Christopher Jekeli
    Pages 127-160
  7. Back Matter
    Pages 161-168

About this book

Introduction

This book addresses different approaches for recovering the Earth’s gravity field using satellite-to-satellite tracking data. It gathers 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.

Keywords

Satellite Gravimetry Gravity Modeling Orbit Determination Satellite-to-Satellite Tracking Spherical Harmonics

Editors and affiliations

  • Majid Naeimi
    • 1
  • Jakob Flury
    • 2
  1. 1.Institut für Erdmessung, Leibniz Universität HannoverHannoverGermany
  2. 2.Institut für Erdmessung, Leibniz Universität HannoverHannoverGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-49941-3
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Earth and Environmental Science
  • Print ISBN 978-3-319-49940-6
  • Online ISBN 978-3-319-49941-3
  • Series Print ISSN 2193-8571
  • Series Online ISSN 2193-858X
  • Buy this book on publisher's site