Spectral analysis and inverse modeling of satellite data and aeromagnetic data

A series of Earth observation satellite missions has opened a new era for the study of Earth’s magnetic field. Due to the homogeneous global coverage and high accuracy of satellite data, magnetic models derived from those provide reliable estimates of the long-wavelength components of the crustal magnetic field. How such satellite magnetic models can contribute to our understanding of the characteristic of the crustal structures is the main topic of this thesis. First, a comparison of conventional filtering methods was made and a new method for regional spherical harmonic analysis is presented and a thorough discussion is provided by considering the case study of the Australian continent. Next, together with reduction to the pole of satellite data and long-wavelength corrected aeromagnetic compilations, correlated tectonic signatures over the neighboring continents in a Gondwana framework are shown. Finally, a positivity constraint was applied to the global magnetic susceptibility inversion and a globally inverted susceptibility model for a reconstructed Gondwana framework is presented and discussed