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Trans-dimensional Bayesian inversion of Airborne Electromagnetic data for 2D conductivity profiles

Created 17/10/2025

Updated 17/10/2025

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This paper presents the application of a novel trans-dimensional sampling approach to a time domain airborne electromagnetic (AEM) inverse problem to solve for plausible conductivities of the subsurface. Geophysical inverse problems, such as time domain AEM, are well known to have a large degree of non-uniqueness. Common least-squares optimization approaches fail to take this into account and provide a single solution with linearized estimates of uncertainty which can result in overly optimistic appraisal of the conductivity of the subsurface. In this new non-linear approach, the spatial complexity of a 2D profile is controlled directly by the data. By examining an ensemble of proposed conductivity profiles it accommodates non-uniqueness and provides more robust estimates of uncertainties. Citation: Hawkins, R., Brodie, R. C., & Sambridge, M. (2018). Trans-dimensional Bayesian inversion of airborne electromagnetic data for 2D conductivity profiles. Exploration Geophysics, 49(2), 134–147. https://doi.org/10.1071/EG16139

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Field Value
Title Trans-dimensional Bayesian inversion of Airborne Electromagnetic data for 2D conductivity profiles
Language eng
Licence Not Specified
Landing Page https://data.gov.au/data/dataset/8a741101-aeec-4df7-b09e-7902be15bfb5
Contact Point
Geoscience Australia Data
clientservices@ga.gov.au
Reference Period 15/11/2016
Geospatial Coverage
Map data © OpenStreetMap contributors
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Data Portal Geoscience Australia

Data Source

This dataset was originally found on Geoscience Australia "Trans-dimensional Bayesian inversion of Airborne Electromagnetic data for 2D conductivity profiles". Please visit the source to access the original metadata of the dataset:
https://ecat.ga.gov.au/geonetwork/srv/eng/csw/dataset/trans-dimensional-bayesian-inversion-of-airborne-electromagnetic-data-for-2d-conductivity-profi