Sensitivity analysis approach to model epistemic and aleatory imperfection: Application to Land Cover Change prediction model

Results on real world data show that taking into account both types of imperfection in the process of LCC prediction and the correlation between parameters improve the resulting predictions about the land changes. Comparisons with existing methods are also discussed in terms of accuracy and computation time and they show that the proposed approach outperforms existing methods.