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This study aims to analyze the land use and occupation changes in São Gabriel RS, and test the accuracy of different classifiers algorithms. The work was performed in the following steps: image processing and georeferencing; realization of supervised classification algorithms with the minimum distance, parallelepiped and maximum likelihood; analysis of arrays of confusion and misclassification, and realization of multi-temporal analysis with the best rating. The field class was the one with greater coverage, and of 40.48% for 2009 and 33.54% for 2015, the decrease is related to the increase in forest and agriculture classes. Among the tested algorithms, which showed better results was the Maximum Likelihood.

TESTE DE ALGORITMOS DE CLASSIFICAÇÃO PARA A ANÁLISE TEMPORAL DE USO E OCUPAÇÃO DO SOLO NO MUNICÍPIO DE SÃO GABRIEL – RS