An approach for imperfection propagation: Application to land cover change prediction

Abstract

We propose an approach that propagates imperfection throu- [2]ghout a model of land cover change prediction. The proposed approach is based on Polynomial Collocation method. The proposed approach estimates the imperfection in the output of the prediction model from the imperfection in its inputs. It incorporates two steps: 1 Computing membership functions for input variables for the model of land cover change prediction, and 2 Propagating imperfections of input variables throughout this model and determining the effect of these imperfection in the model. A probabilistic collocation method is used to propagate imperfection. Experimental results show the effectiveness of the proposed approach in improving both computation time and prediction of the land cover change of the Saint-Denis region, Reunion Island. © 2014 Springer International Publishing.