This study maps burned areas in Brasília National Park (BNP) and Chapada dos Veadeiros National Park (CVNP), including their 10 km buffer zones, from 2000 to 2020. A supervised classification was applied using the Random Forest algorithm in Google Earth Engine (GEE) with Landsat imagery and spectral indices. The combination of NDVI and NBR2 achieved the highest classification accuracy in 65% of the evaluated years compared to NDWI and NBR2. NDVI proved effective for detecting burned areas, especially for capturing structural changes in vegetation. Annual mosaics generated from the standard deviation of minimum and maximum pixel values improved the detection of spectral variability related to fire dynamics. The largest burned areas were observed in 2007 and 2010, with 310.37 km² and 433.45 km² in BNP, and 1,566.59 km² and 1,457.42 km² in CVNP. Spatial patterns differed between parks: fires were more frequent in the buffer zone of BNP, while in CVNP most fires occurred within park boundaries. Field validation in 2019 confirmed the accuracy of the mapped areas but also revealed limitations in detecting small burned scars. The historical data highlights burned area variation over time, supporting discussions on integrated fire management and strategies to reduce large wildfires.