Abstract
We present a new approach for regional gravity field analysis from airborne gravity data, which combines separate processing steps into one inversion scheme. The approach uses a spectral representation of the Earth’s gravity field in terms of a series of harmonic base functions, expressed in a local Cartesian reference frame. The parameters of this representation are estimated using least-squares techniques. Special emphasis is put on the proper modeling of data noise. Frequency-dependent data weighting is applied to handle colored noise, which replaces the traditional method of low-pass filtering and crossover adjustment. To suppress model errors at the highest spatial frequencies, first-order Tikhonov regularization is applied. The performance of the developed technique is assessed for the inversion of gravity disturbances into the disturbing potential, using simulated data.
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© 2005 Springer-Verlag Berlin Heidelberg
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Alberts, B., Klees, R., Ditmar, P. (2005). A new strategy for processing airborne gravity data. In: Jekeli, C., Bastos, L., Fernandes, J. (eds) Gravity, Geoid and Space Missions. International Association of Geodesy Symposia, vol 129. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-26932-0_28
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DOI: https://doi.org/10.1007/3-540-26932-0_28
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-26930-4
Online ISBN: 978-3-540-26932-8
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