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03643nam a22005535i 4500 |
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978-3-319-49941-3 |
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DE-He213 |
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20210618224200.0 |
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|a Global Gravity Field Modeling from Satellite-to-Satellite Tracking Data
|h [electronic resource] /
|c edited by Majid Naeimi, Jakob Flury.
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| 250 |
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|a 1st ed. 2017.
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2017.
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| 300 |
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|a XV, 168 p. 35 illus., 25 illus. in color.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
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|a Lecture Notes in Earth System Sciences,
|x 2193-8571
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|a Parameter Estimation for Satellite Gravity Field Modeling -- Precise Orbit Determination -- The Classical Variational Approach -- The Acceleration Approach -- The Energy Balance Approach.
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|a 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.
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|a Geophysics.
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|a Geographical information systems.
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|a Environmental sciences.
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|a Geophysics/Geodesy.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/G18009
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|a Geographical Information Systems/Cartography.
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|a Math. Appl. in Environmental Science.
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|a Naeimi, Majid.
|e editor.
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|a Flury, Jakob.
|e editor.
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| 710 |
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|a SpringerLink (Online service)
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|t Springer Nature eBook
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| 776 |
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|i Printed edition:
|z 9783319499406
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| 776 |
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|i Printed edition:
|z 9783319499420
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| 776 |
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|i Printed edition:
|z 9783319842806
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| 830 |
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