@InProceedings{Paiva:2019:BuArFu,
               author = "Paiva, Yuri Roberta Yamaguchi de",
          affiliation = "{Instituto Brasileiro do Meio Ambiente e dos Recursos Naturais 
                         Renov{\'a}veis (IBAMA)}",
                title = "Burned area and fuel load mapping in a protected area situated in 
                         the brazilian Cerrado, using linear spectral unmixing model",
            booktitle = "Anais...",
                 year = "2019",
               editor = "Gherardi, Douglas Francisco Marcolino and Sanches, Ieda DelArco 
                         and Arag{\~a}o, Luiz Eduardo Oliveira e Cruz de",
                pages = "363--366",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 19. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "Sentinel-2, Indigenous Land, integrated fire management, free 
                         software, spectral response.",
             abstract = "In order to evaluate the effects of fire in the Indigenous Land 
                         denominated Xerente, situated in the Brazilian State of Tocantins, 
                         the linear spectral unmixing model (LSUM) was applied in orbital 
                         images of the optical satellite Sentinel- 2/MSI to estimate the 
                         dry and green vegetation, soil and burned areas fractions that 
                         constitute study area. The imagery was processed in the free 
                         software SNAP, provided by the European Space Agency ESA. The 
                         modeling captured an extent of ~54,000 hectares (32%) of burned 
                         areas. The fuel load mapping detected ~55,000 hectares (33%) of 
                         the dry vegetation element, ~47,000 hectares (28%) of green 
                         vegetation and ~10,000 hectares (6%) of the soil component. The 
                         modelings results were considered suitable when compared to 
                         photographs taken in loco. Therefore, the LSUM was considered 
                         effective in the evaluation of fire management efforts in the 
                         Brazilian Cerrado.",
  conference-location = "Santos",
      conference-year = "14-17 abril 2019",
                 isbn = "978-85-17-00097-3",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3U62NPL",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3U62NPL",
           targetfile = "97645.pdf",
                 type = "Monitoramento e modelagem ambiental",
        urlaccessdate = "28 abr. 2024"
}