In the Amazon, fires are normally associated with the management of agricultural areas and conversion of forests into productive lands. The occurrence of fires in Amazonia causes direct impacts on the vegetation, affecting directly carbon emissions, with the disruption of the natural carbon cycle, consequently contributing to global climate change. Several studies aim to understand fire dynamics and correlated processes using remote sensing. The availability of orbital data, generating global fire products and a range of digital image processing techniques allow the comprehensive understanding of fire processes. This study, hence, aims to test the viability of MODIS and VIIRS data for quantifying burned scars in the Brazilian Legal Amazonia, analysing their potential against global mapping products. We found that MODIS data were the most accurate for identifying burned areas, considering processing time and the possibility of implementing this methodology operationally for the monitoring of burned areas in Amazonia.