APPLICATION OF A BAYESIAN NETWORK IN A GIS BASED DECISION-MAKING SYSTEM

In this paper we show how a Bayesian network of inference can be used with a GIS to combine information from different sources of data for c lassification. Data may include satellite sensor images, topographic m aps, geological maps etc, each one with its own resolution and accurac y. We show how this uncertainty in the input data can be incorporated in the network and present various methods by which the conditional pr obability matrices used by the network can be constructed. We demonstr ate our approach within the framework of the problem of assessing the risk of desertification of some burned forests in the Mediterranean re gion.