The Argan tree in southwest Morocco is characterized by fragmentation of its forest area and by its adaptability to all types of soils, which disrupts its spectral response. Owing to the complexity in these areas, mapping of the Argan tree facing serious problems when applying methods based on spectral information and ignore spatial information. In this paper, we examine the performance of the object -oriented approach with two satellite images of different spatial resolution (high and medium resolution). Next, we compare the results of object-oriented classification with those produced by the pixel approach. Finally, we evaluate the performance of the object-oriented classification with respect to different segmentation levels. This study shows that object oriented classification is more performance compared to the pixel approach for high spatial resolution images. The results obtained proved also that the object-oriented classification depended on the segmentation scale.
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