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WouterDls · Aug 22, 2022 · 014546c · 014546c
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 # AEM_appraisal
-	Airborne EM methods generate enormous datasets for which fast quasi-2/3D inversion methods are prevailing, that may cause erroneous results.
-	Our tool assesses quantitatively interpretable zones from inversion models obtained with 1D (approximate) forward models. 
-	A forced modelling error approach allows the tool to work with an imperfect but computationally cheaper multidimensional modelling. 
+- Airborne EM methods generate enormous datasets for which fast quasi-2/3D inversion methods are prevailing, that may cause erroneous results.
+- Our tool assesses quantitatively interpretable zones from inversion models obtained with 1D (approximate) forward models. 
+- A forced modelling error approach allows the tool to work with an imperfect but computationally cheaper multidimensional modelling. 
 
  ## Contents
  This repository contains