- Author
- Wouter Deleersnyder (UGent)
- Organization
- Abstract
- This code was used to create an appraisal tool which detects multidimensionality issues in Airborne EM inversion in which a 1D forward model was used. The results are published in Remote Sensing Deleersnyder, W., Dudal, D., & Hermans, T. (2022). Novel Airborne EM Image Appraisal Tool for Imperfect Forward Modeling. <em>Remote Sensing</em>, <em>14</em>(22), 5757. <strong>Abstract:</strong> Full 3D inversion of time-domain Airborne ElectroMagnetic (AEM) data requires specialists’ expertise and a tremendous amount of computational resources, not readily available to everyone. Consequently, quasi-2D/3D inversion methods are prevailing, using a much faster but approximate (1D) forward model. We propose an appraisal tool that indicates zones in the inversion model that are not in agreement with the multidimensional data and therefore, should not be interpreted quantitatively. The image appraisal relies on multidimensional forward modeling to compute a so-called normalized gradient. Large values in that gradient indicate model parameters that do not fit the true multidimensionality of the observed data well and should not be interpreted quantitatively. An alternative approach is proposed to account for imperfect forward modeling, such that the appraisal tool is computationally inexpensive. The method is demonstrated on an AEM survey in a salinization context, revealing possible problematic zones in the estimated fresh–saltwater interface.
- License
- LicenseNotListed
- Other license
- Open
- Access
- open access
Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-01JJVTEJ7YFH631YNZZQV94A0K
@misc{01JJVTEJ7YFH631YNZZQV94A0K, abstract = {{This code was used to create an appraisal tool which detects multidimensionality issues in Airborne EM inversion in which a 1D forward model was used. The results are published in Remote Sensing Deleersnyder, W., Dudal, D., & Hermans, T. (2022). Novel Airborne EM Image Appraisal Tool for Imperfect Forward Modeling. <em>Remote Sensing</em>, <em>14</em>(22), 5757. <strong>Abstract:</strong> Full 3D inversion of time-domain Airborne ElectroMagnetic (AEM) data requires specialists’ expertise and a tremendous amount of computational resources, not readily available to everyone. Consequently, quasi-2D/3D inversion methods are prevailing, using a much faster but approximate (1D) forward model. We propose an appraisal tool that indicates zones in the inversion model that are not in agreement with the multidimensional data and therefore, should not be interpreted quantitatively. The image appraisal relies on multidimensional forward modeling to compute a so-called normalized gradient. Large values in that gradient indicate model parameters that do not fit the true multidimensionality of the observed data well and should not be interpreted quantitatively. An alternative approach is proposed to account for imperfect forward modeling, such that the appraisal tool is computationally inexpensive. The method is demonstrated on an AEM survey in a salinization context, revealing possible problematic zones in the estimated fresh–saltwater interface.}}, author = {{Deleersnyder, Wouter}}, publisher = {{Zenodo}}, title = {{AEM appraisal tool for multidimensionality issues}}, url = {{http://doi.org/10.5281/ZENODO.7015876}}, year = {{2022}}, }
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