Extraction of the deterministic ingredient of a dynamic geodetic control network

L. Shahar, G. Even-Tzur

Research output: Contribution to journalArticlepeer-review

Abstract

Extraction of the deterministic ingredient of a dynamic geodetic control network: A minimum constraints solution, which resolves the datum defect of a control network, is an arbitrary solution that may result in a systematic error in the estimation of the deformation parameters. This error is not derived from measurements and is usually inconsistent with the geophysical reality. A free network is affected only by errors of measurement and, therefore, a free network is an accepted way of coping with this problem. Study of deformations, which is based on the use of geodetic measurements, is usually performed today by defining a kinematic model. Such a model, when used to describe a complex geophysical environment, can lead to the partial estimation of the deterministic dynamics, which characterize the entire network. These dynamics are themselves expressed in measurements, as the adjustment systems' residuals. The current paper presents an extension of the definition of the parameters that are revalued. This extension enables the cleaning of measurements by means of the extraction of datum elements that have been defined by geodetic measurement. This cleaning minimizes the effects of these elements on the revaluated deformation. The proposed algorithm may be applied to achieve the simultaneous estimation of the physical parameters that define the geophysical activity in the network.

Original languageEnglish
Pages (from-to)68-75
Number of pages8
JournalJournal of Geodetic Science
Volume2
Issue number1
DOIs
StatePublished - 1 Jan 2012

Keywords

  • S-transformation
  • deformation analysis
  • deterministic dynamics
  • dynamic models
  • extended free network solution
  • geodetic control network

All Science Journal Classification (ASJC) codes

  • Earth and Planetary Sciences (miscellaneous)
  • Geophysics
  • Computers in Earth Sciences
  • Applied Mathematics
  • Astronomy and Astrophysics

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