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Mapping Burned Areas in Latin America from Landsat-8 with Google Earth Engine

A burned area product was generated from Landsat 8 OLI based three-month composites 21 for the whole territory of Latin America using the processing power of Google earth engine. The 22 product covers the year 2016, and it is guided by thermal anomalies recorded by the, Suomi-NPP 23 satellite Visible Infrared Imaging Radiometer Suite (VIIRS) sensor. The BA algorithm takes into 24 account the spectral contrast between the fire affected areas and the unburned background, using a 25 dedicated thresholding technique. Several spectral indices/bands were used to detect burned pixels 26 by using the spectral signatures extracted at the hotspots. Results showed ~518K km2 of burned 27 areas for 2016, in comparison with the ~318K km2 of the MODIS MCD64A1 c6 product. The 28 comparison of the automatic method with manually obtained burned perimeters in 40 validation 29 sites showed a very high overall accuracy. Aggregated commission and omission errors for the 30 burned category were found below 20%. The most problematic areas were found related to the low 31 temporal resolution of the sensor and the persistence of the cloud cover, as well as to the confusion 32 with croplands, particularly with regards to commission errors. 33