With the advance of the remote sensing and the digital images processing, many techniques for the quantification and mapping of vegetation have been developed in the recent decades and they have been considered accessible because of the easiness in acquiring satellite images. The NDVI (Normalized Difference Vegetation Index) allows analysis of the vegetation cover in a region. For the calculation of vegetation indexes from two or more spectral bands, because the bands are affected differently by atmospheric scattering, it is necessary to perform atmospheric correction to minimize these effects. The aim of this study was to generate the NDVI for images of 16 bits with atmospheric correction of Landsat 8 satellite from Passo Cuê watershed, in western Paraná. Additionally, maps of the slope and the use and occupation of the soil were generated. The NDVI image was made with values of 2000 for gain and 0 for offset and from it, the map of use and occupation of soil was made, which has indicated that the area of the Passo Cuê watershed is predominantly agricultural (40%) and the vegetation showed a percentage of 23%. Thus, the NDVI has proven to be an effective tool for the quantification of the vegetation cover.