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The Land use in a landscape can exhibit a number of changes over a given period. Through satellite imagery and Remote Sensing techniques it is possible to obtain a view of space over changes over time, as well as infer whether these modifications are occurring in a negative or positive way. The objective of this study was of realize a temporal analyze of use and land-cover in the surroundings of Passo Real reservoir – RS, with the use of digital classification techniques in Landsat images, over a period of 26 years. The study was conducted in the central-north region of Rio Grande do Sul. Two images of the Landsat satellite were required. With the images, these were corrected geometrically, and then the training samples were collected and the classification algorithms were applied. In the next step, the matrices of confusion, the Global Accuracy and Kappa indices, were obtained to evaluate the quality of the classifications. Finally, we performed the temporal analysis (dynamics) based on the best classification algorithm. The best performance was the MaxVer algorithm, which presented excellent Global Accuracy and Kappa index values for both Landsat satellite images. The observed dynamics of the study area presented relevant changes, and the main changes in the landscape are related to the vegetation classes, with notable transitions to the areas of agriculture. The use of Remote Sensing is of great importance for environmental studies.

DINÂMICA DO USO E COBERTURA DA TERRA DO ENTORNO DO RESERVATÓRIO DO PASSO REAL – RS