Detection and Analysis of Forest Degradation by Fire Using Landsat/Oli Images in Google Earth Engine

In this work we present a procedure to analyze the forest degradation by fire in the Brazilian Amazon using the Landsat-8 Operational Land Imager (OLI) time series, taking advantage of the resources of the Google Earth Engine platform. The study area is the municipality of Porto dos Gaúchos located in the state of Mato Grosso, in the "arc of deforestation" of the Brazilian Legal Amazon. We used OLI images acquired between January 1st, 2017 and the last available image from 2018. We generated fraction images of soil, vegetation and shade using the Linear Spectral Mixing Model to highlight burned forest that we visited in the field in September 2018. Our analysis showed that forest degradation by fire can be detected using time series and the Google Earth Engine platform.