@InProceedings{BeuchleSLVCJLA:2019:LaMoBa,
               author = "Beuchle, Ren{\'e} and Shimabukuro, Yosio Edemir and Langner, 
                         Andreas Johannes and Vogt, Peter and Carboni, Silvia and 
                         Janouskova, Klara and Lima, Thais Almeida and Achard, 
                         Fr{\'e}d{\'e}ric",
          affiliation = "European Commission, Joint Research Centre (JRC) and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and European Commission, 
                         Joint Research Centre (JRC) and European Commission, Joint 
                         Research Centre (JRC) and {GFT ITALIA Srl.} and {ARHS Developments 
                         S.A.} and {University of British Columbia} and European 
                         Commission, Joint Research Centre (JRC)",
                title = "Forest disturbances in the Brazilian Amazon - Large-scale 
                         monitoring based on cloud-computed remote sensing analysis",
                 year = "2019",
         organization = "Congresso Mundial da IUFRO",
             abstract = "he disturbances of forest cover by processes like selective 
                         logging and forest fires are very common in tropical forest. These 
                         disturbances heavily affect forest functionalities, lead to a 
                         decrease of forest biomass and contribute to greenhouse gas 
                         emissions. However, the quantification of the disturbance extend 
                         remains a challenging task because disturbed forest areas do not 
                         consist in a long-term conversion to another land use, but often 
                         undergo fast regrowth and thus are easily detectable only for a 
                         limited amount of time. We have applied a novel approach based on 
                         the \∆rNBR index, which maps the loss of forest canopy on a 
                         yearly basis by a multi-image analysis with cloud computing on 
                         Google Earth Engine. We have analysed 12 years of forest 
                         disturbances (2000-2011) over large area of interest (ca. 414,000 
                         km2), defined by the intersection of the Mato Grosso State border 
                         and the Brazilian Amazon biome. We assessed the logging and fire 
                         intensity by applying a grid of 300 m × 300 m spatial resolution 
                         over the mapped disturbance pixels. In 2016, more than 220,000 km2 
                         (53,3%) were covered by forest within the area of interest, 
                         thereof more than 38,000 km2 (17,3%) were disturbed by selective 
                         logging within the 12 years analysed, ranging from 1,819 km2 
                         (2009) to 6,984 km2 (2005). The burned forest added up to 18,711 
                         km2 (8,4%) during this period, the smallest forest area burned in 
                         2001 (68 km2) the larges area in 2007 (10,258 km2).",
  conference-location = "Curitiba, PR",
      conference-year = "29 set. - 05 out.",
             language = "en",
        urlaccessdate = "01 maio 2024"
}