Incorporation of human dimension into the analysis of remotely-sensed images: a spatial model of deforestation

Remotely-sensed information of forest coverage was extended by applying grid-cell data in typical human dimension: population. The authors demonstrated that process of deforestation have strong dependence on human population in an explicit form of a mathematical model. Relative appropriateness to real data of the relation was compared with other possible relations by Akaike´s information criterion (AIC). The authors propose to use the best model for evaluating regional forest environment through estimated parameter comparison