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@InProceedings{VelascoGomezBeShGrSiEvAc:2015:LoPeDe,
               author = "Velasco Gomez, M. Diana and Beuchle, Ren{\'e} and Shimabukuro, 
                         Yosio Edemir and Grecchi, Rosana and Simonetti, Dario and Eva, 
                         Hugh D. and Achard, Frederic",
          affiliation = "European Commission, Joint Research Centre (JRC) and 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 European Commission, Joint Research Centre (JRC) 
                         and European Commission, Joint Research Centre (JRC)",
                title = "A long-term perspective on deforestation rates in the Brazilian 
                         Amazon",
            booktitle = "Proceedings...",
                 year = "2015",
         organization = "International Symposium on Remote Sensing of Environment, 36.",
             keywords = "Arc of deforestation, Brazilian Amazon, Land cover change, 
                         Landsat, Multi-temporal analysis, Systematic sample.",
             abstract = "Monitoring tropical forest cover is central to biodiversity 
                         preservation, terrestrial carbon stocks, essential ecosystem and 
                         climate functions, and ultimately, sustainable economic 
                         development. The Amazon forest is the Earth's largest rainforest, 
                         and despite intensive studies on current deforestation rates, 
                         relatively little is known as to how these compare to historic 
                         (pre 1985) deforestation rates. We quantified land cover change 
                         between 1975 and 2014 in the so-called Arc of Deforestation of the 
                         Brazilian Amazon, covering the southern stretch of the Amazon 
                         forest and part of the Cerrado biome. We applied a consistent 
                         method that made use of data from Landsat sensors: Multispectral 
                         Scanner (MSS), Thematic Mapper (TM), Enhanced Thematic Mapper Plus 
                         (ETM+) and Operational Land Imager (OLI). We acquired suitable 
                         images from the US Geological Survey (USGS) for five epochs: 1975, 
                         1990, 2000, 2010, and 2014. We then performed land cover analysis 
                         for each epoch using a systematic sample of 156 sites, each one 
                         covering 10 km  10 km, located at the confluence point of integer 
                         degree latitudes and longitudes. An object-based classification of 
                         the images was performed with five land cover classes: tree cover, 
                         tree cover mosaic, other wooded land, other land cover, and water. 
                         The automatic classification results were corrected by visual 
                         interpretation, and, when available, by comparison with higher 
                         resolution imagery. Our results show a decrease of forest cover of 
                         24.2% in the last 40 years in the Brazilian Arc of Deforestation, 
                         with an average yearly net forest cover change rate of-0.71% for 
                         the 39 years considered.",
  conference-location = "Berlin, Germany",
      conference-year = "11-15 May",
        urlaccessdate = "28 nov. 2020"
}


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