This paper proposes a fuzzy classifier based on type-2 fuzzy sets to be applied in land cover classification. The classifier is built on the basis of the available data and considers the merging of information drawn from different experts. The data regard a thematic mapper representing the land cover of a real plain cultivated area. The experts are represented by different bands which classify the spectral sensor information. The new proposed method to design the classifier as well as the use of general type-2 fuzzy sets allows the modeling of input-output relations and minimizes the effects of uncertainties in the usual fuzzy rule-based classifiers. The experiments carried out attest to the efficiency of the proposed general type-2 fuzzy classifier.