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Adjustment of Digital Filters for Decorrelation of GOCE SGG Data

  • Ina KrasbutterEmail author
  • Jan Martin Brockmann
  • Boris Kargoll
  • Wolf-Dieter Schuh
Chapter
Part of the Advanced Technologies in Earth Sciences book series (ATES)

Abstract

GOCE satellite gravity gradiometry (SGG) data are strongly autocorrelated within the various tensor components. Consideration of these correlations in the least-squares adjustment for gravity field determination can be carried out by digital decorrelation filters. Due to the complexity of the correlation pattern the used decorrelation filters consist of a cascade of individual filters. In this contribution some of the properties of these filters and their application to GOCE SGG data decorrelation will be presented.

Keywords

Notch Filter Whitening Filter Satellite Gravity Gradiometry Gravity Gradient Tensor Gravity Field Solution 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgments

This work was financially supported by the BMBF Geotechnologien program REAL GOCE and the ESA GOCE HPF contract No. 18308/04/NL/MM. The computations were performed on the JUROPA supercomputer in Juelich. The computing time was granted by the John von Neumann Institute for Computing (project HBN15).

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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Ina Krasbutter
    • 1
    Email author
  • Jan Martin Brockmann
    • 1
  • Boris Kargoll
    • 1
  • Wolf-Dieter Schuh
    • 1
  1. 1.Institute of Geodesy and GeoinformationUniversity of BonnBonnGermany

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