@Article{LealHiraPere:2016:OnFuLo,
               author = "Leal, Bruna E. Z. and Hirakawa, Andre R. and Pereira, Thiago 
                         Duarte",
          affiliation = "{Universidade de S{\~a}o Paulo (USP)} and {Universidade de 
                         S{\~a}o Paulo (USP)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)}",
                title = "Onboard fuzzy logic approach to active fire detection in Brazilian 
                         amazon forest",
              journal = "IEEE Transactions on Aerospace and Electronic Systems",
                 year = "2016",
               volume = "52",
               number = "2",
                pages = "883--890",
                month = "Apr.",
             abstract = "In Brazil, almost all fires are caused by human activities, and 
                         for very different reasons: cleaning pastures, preparation for 
                         planting, removal of excess undergrowth, hand harvesting of cane 
                         sugar, vandalism, etc. Identifying fire occurrence promptly can 
                         assist and minimize the negative impact on the affected area. This 
                         article presents an onboard fuzzy logic approach for identifying 
                         and detecting active fire spots in the Brazilian Amazon forest 
                         considering the separability of fire spectral characteristics.",
                  doi = "10.1109/TAES.2015.140766",
                  url = "http://dx.doi.org/10.1109/TAES.2015.140766",
                 issn = "0018-9251",
             language = "en",
           targetfile = "Leal_onboard.pdf",
        urlaccessdate = "28 abr. 2024"
}