A method for calibration of electromagnetic induction measurement systems, in which an electrical induction measuring system having at least one transmitter which emits a magnetic field as a primary signal which triggers a current in the soil which generates a secondary signal, and having a receiver which records the magnetic signal, is positioned at least at two measuring heights relative to a soil to be to be measured, wherein an input vector according to formula 1 is created, X = EC 1 EC 2 ⋮ EC n CV 1 with EC 1-n = conductivity value of the respective layer and CV 1 = calibration value of the transmitter-receiver pair which represents a combination of soil properties and environmental properties containing the properties of the induction measurement system and includes a data set of n conductivity values of n layers, wherein n denotes the respective layer, and which uses as an initial value for the determination of the calibration values a starting value X 0 according to formula 2 X 0 = EC 0,1 EC 0,2 ⋮ EC 0 , n CV 0,1 with EC 0,1 ...EC 0,n = the electrical conductivity for n layers and CV 0,1 = calibration value where EC 0,1 , EC 0,2 , EC 0,3 ,...EC 0,n and CV 0,1 are assumptions and apparent electrical conductivities ECa mod (h) are calculated as assumption for m measurement heights h [h 1 , h 2 , h 3 , ....h m ] using a forward model, wherein CV 0,1 is constant for all measurement heights, resulting in a forward model according to formula 3 f X 0 , h = ECa 0 , mod EC 0,1 ... EC 0 , n , h + CV 0,1 with f(X 0 ,h) = function from initial value X 0 to height h and ECa 0,mod = modeled ECa 0 data and the estimated starting value X 0 is iteratively optimized via an inversion approach in which the difference between modeled ECa mod values and measured values is minimized, in which, over a total height of two meters, ten measurements at intervals of 20 cm or 20 measurements at a distance of 10 cm are carried out, and an inversion method is used for minimization according to formula 5 min f X h − ECa mea h with f(X,h) = modeled measured value and ECa mea (h) = measured data from different measurement heights, wherein a simplex method or a stochastic method is used to solve the equation according to formula 5. EC 1-n = conductivity value of the respective layer and CV 1 = calibration value of the transmitter-receiver pair which represents a combination of soil properties and environmental properties containing the properties of the induction measurement system and includes a data set of n conductivity values of n layers, wherein n denotes the respective layer, and which uses as an initial value for the determination of the calibration values a starting value X 0 according to formula 2 X 0 = EC 0,1 EC 0,2 ⋮ EC 0 , n CV 0,1 with EC 0,1 ...EC 0,n = the electrical conductivity for n layers and CV 0,1 = calibration value where EC 0,1 , EC 0,2 , EC 0,3 ,...EC 0,n and CV 0,1 are assumptions and apparent electrical conductivities ECa mod (h) are calculated as assumption for m measurement heights h [h 1 , h 2 , h 3 , ....h m ] using a forward model, wherein CV 0,1 is constant for all measurement heights, resulting in a forward model according to formula 3 f X 0 , h = ECa 0 , mod EC 0,1 ... EC 0 , n , h + CV 0,1 with f(X 0 ,h) = function from initial value X 0 to height h and ECa 0,mod = modeled ECa 0 data and the estimated starting value X 0 is iteratively optimized via an inversion approach in which the difference between modeled ECa mod values and measured values is minimized, in which, over a total height of two meters, ten measurements at intervals of 20 cm or 20 measurements at a distance of 10 cm are carried out, and an inversion method is used for minimization according to formula 5 min f X h − ECa mea h with f(X,h) = modeled measured value and ECa mea (h) = measured data from different measurement heights, wherein a simplex method or a stochastic method is used to solve the equation according to formula 5. <EOS>