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Novel airborne EM image appraisal tool for imperfect forward modeling
Deleersnyder, W.; Dudal, D.; Hermans, T. (2022). Novel airborne EM image appraisal tool for imperfect forward modeling. Remote Sens. 14(22): 5757. https://dx.doi.org/10.3390/rs14225757
In: Remote Sensing. MDPI: Basel. ISSN 2072-4292; e-ISSN 2072-4292, meer
Peer reviewed article  

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Trefwoord
    Marien/Kust
Author keywords
    airborne geophysics; AEM; TEM; resistivity; conductivity; appraisal; modeling; electromagnetics

Auteurs  Top 
  • Deleersnyder, W., meer
  • Dudal, D.
  • Hermans, T., meer

Abstract
    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.

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