Mapping imbalanced soil classes using Markov chain random fields models treated with data resampling technique

•Imbalanced soil classes distribution leads to uncertain map prediction.•Oversampling of minority soil classes before modelling increased maps accuracy.•Loss of minority soil classes was resolved after data resampling.•Random-path simulation model worked best for mapping after data oversampling.