The following research intends to use Google Earth Engine, which is a cloud programming platform for a petabytes of Sentinela2 satellite images, a mode of use due to the shared processing of Google servers that provide data and matrices. Therefore, the research uses the Rio do Coco Watershed, appropriating Bands B4, B3, B2 and B8 to form a composition and apply arithmetic of colored bands to obtain the NDWI and NDVI indices, which aim to reveal the differences in activity and photosynthesis of vegetation cover. And allied to the indices, a supervised classification was made that allows the discovery of spectral indices to specialize a watershed in the following classes: Water, Area, Countryside Formation and Forest Formation. Therefore, the maps are based on matrix products of the wet and dry period of the year 2020, which it was possible to verify an increase in the classes.
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