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Geographical information is a powerful tool for decision-making in Territorial-Physical Planning. By its turn, fuzzy systems seem to be an interesting technique to deal with imprecision and uncertainty in the large amount of heterogeneous data available in geographical information systems (GIS). This paper aims to incorporate intelligent mechanisms in GIS by means of fuzzy rule-based systems. The proposal here is to present a spatio-temporal prediction method of forestry evolution for a sequence of satellite images through the use of fuzzy inference systems.