@InProceedings{FerreiraEscaArag:2019:InDeEs,
               author = "Ferreira, Igor Jos{\'e} Malfetoni and Escada, Maria Isabel Sobral 
                         and Arag{\~a}o, Luiz Eduardo Oliveira e Cruz de",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)}",
                title = "Influ{\^e}ncia da densidade de estradas na ocorr{\^e}ncia de 
                         focos de calor na regi{\~a}o metropolitana do Vale do 
                         Para{\'{\i}}ba e Litoral Norte",
            booktitle = "Anais...",
                 year = "2019",
               editor = "Gherardi, Douglas Francisco Marcolino and Sanches, Ieda DelArco 
                         and Arag{\~a}o, Luiz Eduardo Oliveira e Cruz de",
                pages = "2386--2389",
         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 = "Ecologia de paisagem, m{\'e}tricas, sensoriamento remoto, 
                         Landscape ecology, metrics, remote sensing.",
             abstract = "Atividades humanas est{\~a}o entre as principais causas de 
                         inc{\^e}ndios florestais. A presen{\c{c}}a de estradas e 
                         proximidade de {\'a}reas urbanizadas s{\~a}o fatores que 
                         potencializam a ocorr{\^e}ncia de hotspots de inc{\^e}ndios 
                         florestais. Este estudo analisou a din{\^a}mica de 
                         ocorr{\^e}ncia de focos de calor em rela{\c{c}}{\~a}o {\`a}s 
                         m{\'e}tricas de configura{\c{c}}{\~a}o da paisagem, proximidade 
                         e densidade de estrada. Para isso, foram calculadas as 
                         m{\'e}tricas que caracterizam a paisagem e analisada sua 
                         rela{\c{c}}{\~a}o com o n{\'u}mero de focos de calor, 
                         aplicando-se um modelo de regress{\~a}o linear simples. O modelo 
                         composto apenas pela densidade de estradas apresentou a melhor 
                         resposta {\`a} vari{\'a}vel dependente (Rē = 0,51). A 
                         ocorr{\^e}ncia de focos pode estar relacionada {\`a}s {\'a}reas 
                         urbanizadas. Assim, conclui-se que, na regi{\~a}o estudada, a 
                         ocorr{\^e}ncia de focos de calor n{\~a}o est{\'a} relacionada 
                         {\`a} estrutura da paisagem. ABSTRACT: Human activities are one 
                         of the main causes of wildfire occurrence. Aspects such as the 
                         presence of roads or proximity to urbanized areas are factors that 
                         offer great potential for the occurrence of hotspots linked to 
                         wildfires. In this context, this study analyzed the relationship 
                         between the occurrence of fire hotspots, landscape structure, 
                         proximity and density of roads. To this purpose, metrics that 
                         characterize the landscape were calculated and the relation with 
                         the number of hot spots was analyzed by applying a simple linear 
                         regression model. The model composed only by the road density 
                         presented the best response to the dependent variable (Rē = 0.51). 
                         The hotspot occurrence may be related to the urbanized areas. 
                         Thus, it is concluded that in the studied region, the occurrence 
                         of hotspots is not related to the landscape structure.",
  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/3TUU48E",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3TUU48E",
           targetfile = "97315.pdf",
                 type = "Degrada{\c{c}}{\~a}o de florestas",
        urlaccessdate = "28 abr. 2024"
}