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Universidad y ciencia
versão impressa ISSN 0186-2979
Resumo
RULLAN-SILVA, CD; GAMA-CAMPILLO, LM; GALINDO-ALCANTARA, A e OLTHOFF, AE. Non-supervised classification of soil cover in the Mountain Region of Tabasco through ETM+ Landsat images. Universidad y ciencia [online]. 2011, vol.27, n.1, pp.33-41. ISSN 0186-2979.
The composite image prepared from three Landsat ETM+ images and their digital processing through a non-supervised classification algorithm, made it possible to obtain the soil cover cartography of the Tabasco Mountain Region, which resulted highly heterogeneous and fragmented. The complex landscape caused the method used to be insufficient. Nevertheless, the classification presented here is useful considering a precision greater than 70% in the majority of the cover classes in the generated cartography.
Palavras-chave : Non-supervised classification; ISODATA; LANDSAT; soil cover; Mountain Region of Tabasco.