The spatially constrained inversion (SCI) produces quasi-3D modeling of geoelectrical and electromagnetic data using a 1D forward solution. Information migrates horizontally through spatial constraints and allows resolution of layers that would be locally poorly resolved and it greatly reduces the influence of noisy data. The constraints between models are constructed using Delaunay triangulation, where the length of the lattices scales the constraints between the model parameters. Note that constraints are not only applied along profile lines but also between profile lines. The triangulation also allows creation of data subsets suitable for parallel computing. The SCI algorithm has been applied to helicopter borne SkyTEM data and to demonstrate the generality of the algorithm we will in this study apply it to airborne frequency data (HEM) from Banda Aceh, Indonesia. The field case proves that the SCI produces consistent results that respect the 3D geological variations of the sedimentary settings and it does efficiently suppress along flight line inversion artifacts. .