@InProceedings{SilvaJrAragAndePenh:2017:RePr,
               author = "Silva Junior, Celso Henrique Leite and Arag{\~a}o, Luiz Eduardo 
                         Oliveira e Cruz de and Anderson, Liana Oighenstein and Penha, 
                         Thales Vaz",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)}",
                title = "Mapeamento de queimadas na Amaz{\^o}nia Legal brasileira 
                         utilizando dados MODIS e VIIRS: resultados preliminares",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "3475--3482",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 18. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "In the Amazon, fires are normally associated with the management 
                         of agricultural areas and conversion of forests into productive 
                         lands. The occurrence of fires in Amazonia causes direct impacts 
                         on the vegetation, affecting directly carbon emissions, with the 
                         disruption of the natural carbon cycle, consequently contributing 
                         to global climate change. Several studies aim to understand fire 
                         dynamics and correlated processes using remote sensing. The 
                         availability of orbital data, generating global fire products and 
                         a range of digital image processing techniques allow the 
                         comprehensive understanding of fire processes. This study, hence, 
                         aims to test the viability of MODIS and VIIRS data for quantifying 
                         burned scars in the Brazilian Legal Amazonia, analysing their 
                         potential against global mapping products. We found that MODIS 
                         data were the most accurate for identifying burned areas, 
                         considering processing time and the possibility of implementing 
                         this methodology operationally for the monitoring of burned areas 
                         in Amazonia.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "60017",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSLT2P",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSLT2P",
           targetfile = "60017.pdf",
                 type = "Degrada{\c{c}}{\~a}o de florestas",
        urlaccessdate = "27 abr. 2024"
}