@InProceedings{RochaPerz:2013:CoAsTh,
               author = "Rocha, Karla da Silva and Perz, Stephen George",
                title = "Variation in deforestation estimates: a comparative assessment of 
                         three remote sensing protocols for the case of Acre, Brazil",
            booktitle = "Anais...",
                 year = "2013",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares",
                pages = "8184--8191",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 16. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "Many deforestation estimates have been derived from the Landsat 
                         platform in the past 30 years. More recently, estimates have also 
                         been produced from other orbital platforms, or using distinct 
                         methods of image processing and classification. As a result, there 
                         is often a diversity of estimates of LULCC available for 
                         high-profile study regions. Deforestation is increasingly seen as 
                         a metric for evaluating the effectiveness of environmental 
                         policies, and different estimates can be politicized by groups 
                         with interest in higher or lower estimates. Further, clean 
                         development mechanisms involving forest conservation have advanced 
                         toward implementation but require accurate estimates of forest 
                         cover with which to determine environmental service payments. Such 
                         issues are at play in many regions, notably the Brazilian Legal 
                         Amazon (BLA), where deforestation has proceeded rapidly, resulting 
                         in biodiversity loss and carbon emissions. This paper therefore 
                         compares deforestation estimates in the Amazon using data from 
                         multiple remote sensing studies. The main goal is to evaluate 
                         specific steps in remote sensing methodology to identify factors 
                         that account for differences in the resulting deforestation 
                         estimates. The comparison focuses on deforestation estimates from 
                         three different sources. The analysis shows differences in 
                         deforestation estimates; while there are many possible sources of 
                         such differences, in this analysis estimates vary primarily due to 
                         definitions of land cover classes.",
  conference-location = "Foz do Igua{\c{c}}u",
      conference-year = "13-18 abr. 2013",
                 isbn = "{978-85-17-00066-9 (Internet)} and {978-85-17-00065-2 (DVD)}",
                label = "720",
             language = "en",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "3ERPFQRTRW34M/3E7GFJG",
                  url = "http://urlib.net/ibi/3ERPFQRTRW34M/3E7GFJG",
           targetfile = "p0720.pdf",
                 type = "Processamento de Imagens",
        urlaccessdate = "05 maio 2024"
}