@Article{OliveiraSRFGLBMBOM:2023:NeReWe,
               author = "Oliveira, Ubirajara and Soares-Filho, Britaldo and Rodrigues, 
                         Hermann and Figueira, Danilo and Gomes, Leticia and Leles, William 
                         and Berlinck, Christian and Morelli, Fabiano and Bustamante, 
                         Mercedes and Ometto, Jean Pierre Henry Balbaud and Miranda, 
                         Helo{\'{\i}}sa",
          affiliation = "{Universidade Federal de Minas Gerais (UFMG)} and {Universidade 
                         Federal de Minas Gerais (UFMG)} and {Universidade Federal de Minas 
                         Gerais (UFMG)} and {Universidade Federal de Minas Gerais (UFMG)} 
                         and {Universidade de Bras{\'{\i}}lia (UnB)} and {Universidade 
                         Federal de Minas Gerais (UFMG)} and {Instituto Chico Mendes de 
                         Conserva{\c{c}}{\~a}o da Biodiversidade (ICMBio)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Universidade de 
                         Bras{\'{\i}}lia (UnB)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)} and {Universidade de Bras{\'{\i}}lia (UnB)}",
                title = "A near real-time web-system for predicting fire spread across the 
                         Cerrado biome",
              journal = "Scientific Reports",
                 year = "2023",
               volume = "13",
               number = "1",
                pages = "e4829",
                month = "Dec.",
             abstract = "Wildfires are aggravating due to climate change. Public policies 
                         need territorial intelligence to prevent and promptly fight fires, 
                         especially in vast regions like Brazil. To this end, we have 
                         developed a fire-spread prediction system for the Brazilian 
                         Cerrado, the biome most affected by wildfires in South America. 
                         The system automatically uploads hot pixels and satellite data to 
                         calculate maps of fuels loads, vegetation moisture, and 
                         probability of burning for simulating fire spread thrice a day for 
                         the entire Cerrado at 25 ha and for nine conservation units at 
                         0.04 ha spatial resolution. In both versions, the model attains 
                         6589% of spatial match. Model results together with ancillary 
                         data, e.g., historical burned areas and annual CO2 emissions from 
                         fires, are available on an interactive web-platform that serves as 
                         a tool for fire prevention and fight, particularly in the selected 
                         conservation units where the platform is being used for daily 
                         operations.",
                  doi = "10.1038/s41598-023-30560-9",
                  url = "http://dx.doi.org/10.1038/s41598-023-30560-9",
                 issn = "2045-2322",
             language = "en",
           targetfile = "s41598-023-30560-9.pdf",
        urlaccessdate = "16 jun. 2024"
}