Detection of forest degradation caused by fires in Amazonia from time series of MODIS fraction images

A new method is presented to detect and assess the extent of burned forests in a tropical ecosystem. Our study area is located in Mato Grosso state southern flank of the Brazilian Amazon region. MODIS images are used over the dry season of year 2010. The proposed method is based on (i) linear spectral mixing model applied to MODIS imagery to derive soil and shade fraction images and (ii) image segmentation and classification applied to a multi-temporal dataset of MODIS-derived images. In a first step, deforested areas are identified and mapped from the soil Anais XVII Simposio Brasileiro de Sensoriamento Remoto - SBSR, Joao Pessoa-PB, Brasil, 25 a 29 de abril de 2015, INPE