@InProceedings{SilvaAdQuKöMoAmSh:2020:SpAnAc,
               author = "Silva, Gabriel M{\'a}ximo da and Adorno, Bruno Vargas and 
                         Queiroz, Gilberto Ribeiro and K{\"o}rting, Thales Sehn and 
                         Morelli, Fabiano and Amaral, Silvana and Shimabukuro, Yosio 
                         Edemir",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)} and {Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Spatial-temporal Analysis of active fire classified by INPE's Fire 
                         Risk Model in Brazil using Python language",
            booktitle = "Anais...",
                 year = "2020",
               editor = "Carneiro, Tiago Garcia de Senna (UFOP) and Felgueiras, Carlos 
                         Alberto (INPE)",
                pages = "153--161",
         organization = "Simp{\'o}sio Brasileiro de Geoinform{\'a}tica, 21. (GEOINFO)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "The use of programming languages such as Python to analyse 
                         geospatial data has simplified the analysis of remote sensing 
                         data. In this study, we evaluated the spatial-temporal 
                         distribution of active fires detected by MODIS in Aqua Satellite 
                         by classes of fire risk, as defined by INPE' Fire Risk model. The 
                         study area was the federative units, geographical regions, and 
                         biomes in Brazil. The temporal assessment comprised different time 
                         seasons and the years from 2015 to 2019. Active fires were higher 
                         during winter and spring seasons when also more Critical and High 
                         risks were noticed. The same risk was prevalent in Northeastern 
                         and Southeastern Brazil, as well as in the Caatinga and Cerrado 
                         biomes.",
  conference-location = "On-line",
      conference-year = "30 nov. a 03 dez. 2020",
                 issn = "2179-4847",
             language = "en",
                  ibi = "8JMKD3MGPDW34P/43PR9PH",
                  url = "http://urlib.net/ibi/8JMKD3MGPDW34P/43PR9PH",
           targetfile = "p14.pdf",
                 type = "Geoinforma{\c{c}}{\~a}o",
        urlaccessdate = "28 abr. 2024"
}