watex.methods.electrical.VerticalSounding.invert#

VerticalSounding.invert(data, strategy=None, **kwd)[source]#

Invert1D the Vertical Electrical Sounding data collected in the exporation area.

Parameters:

  • data (Dataframe pandas) – contains the depth measurement AB from current electrodes, the potentials electrodes MN and the collected apparent resistivities.

  • rho0 (float -) – Value of the starting resistivity model. If None, rho0 should be the half minumm value of the apparent resistivity collected. Units is in Ω.m not log10(Ω.m)

  • h0 (float - Thickness in meter of the first layers in meters.) – If None, it should be the minimum thickess as possible ``1.``m.

  • strategy (str - Type of inversion scheme. The defaut is Hybrid Monte) – Carlo (HMC) known as HMCMC. Another scheme is Bayesian neural network approach (BNN).

  • kwd (dict - Additionnal keywords arguments from Vertical Electrical Sounding data) – operations. See watex.utils.exmath.vesDataOperator for futherdetails.

  • replace (.. VES) –