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

Abstract

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.