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Simulation Studies for Improving the Geoid in Egypt

  • Mohamed S. Hanafy
  • Mohamed A. El Tokhey
Conference paper
Part of the International Association of Geodesy Symposia book series (IAG SYMPOSIA, volume 112)

Abstract

Least squares collocation permits the estimation of the accuracy of predicted quantities such as geoidal heights in dependence on various assumed distributions of heterogeneous data (gravity, GPS, etc.) without needing actual observations (only covariances). In addition to already available data (deflections of the vertical, gravity measurements, Doppler and GPS data), various regularly arranged additional distributions of gravity and / or GPS data were assumed and the resulting accuracy was estimated.

Keywords

Gravity Anomaly Gravity Data Geoidal Height Geoid Undulation Physical Geodesy 
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.

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References

  1. Moritz, H. (1978). Least squares collocation, Reviews of Geophysics and Space Physics, Vol. 16 No. 3, pp. 27–34.CrossRefGoogle Scholar
  2. Moritz, H. (1980). Advanced physical geodesy, Herbert Wichmann Verlag, Karlsruhe, Germany.Google Scholar
  3. Suenkel, H. (1982). The prediction of the indirect effect of the geoidal height, Proceedings of General Meeting of IAG, Tokyo.Google Scholar
  4. Tscherning, C.O (1975). Application of collocation for planning of gravity surveys, Bull. Geod., Vol 118, pp. 183–198.CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1993

Authors and Affiliations

  • Mohamed S. Hanafy
    • 1
  • Mohamed A. El Tokhey
    • 2
  1. 1.Faculty of EngineeringAin Shams UniversityCairoEgypt
  2. 2.Department of Physical GeodesyGraz University of TechnologyGrazAustria

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