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Abstract

Summary

In the present work we present the main algorithms used in the GIULIA project in which GOCE gravity data, in terms of global gravity field model, are exploited to estimate the main features of the Earth crust at a regional scale for the “Assets e Prospects” operation. In detail, once a regional area is considered, local available information in terms of main geological provinces, seismic profiles, and crustal densities and will combine these local datasets with GOCE derive gravity field to determine a crustal model consistent with all the available source of information. The inversion algorithm is based on a refinement of geological provinces by means of Bayesian classification procedure followed by a Wiener filter in the frequency domain to invert the gravitational signal.

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/content/papers/10.3997/2214-4609.201701079
2017-06-12
2020-07-04
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References

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