Document of bibliographic reference 360192

BibliographicReference record

Type

Bibliographic resource

Type of document

Journal article

BibLvlCode

AS

Title

Novel airborne EM image appraisal tool for imperfect forward modeling

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.

WebOfScience code

https://www.webofscience.com/wos/woscc/full-record/WOS:000887629100001

Bibliographic citation

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

Topic

Marine

Is peer reviewed

true

Access rights

open access

Is accessible for free

true