@Article{FerreiraPereLaba:2021:ZoClLo,
               author = "Ferreira, Fabiana Louren{\c{c}}o e Silva and Pereira, Enio Bueno 
                         and Labaki, Lucila Chebel",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Universidade Estadual 
                         de Campinas (UNICAMP)}",
                title = "Fatores associados {\`a} distribui{\c{c}}{\~a}o da temperatura 
                         das superf{\'{\i}}cies em {\'a}reas urbanas: zonas 
                         clim{\'a}ticas locais e caracter{\'{\i}}sticas espectrais",
              journal = "Ambiente Constru{\'{\i}}do",
                 year = "2021",
               volume = "21",
               number = "1",
                pages = "237--262",
                 note = "Setores de Atividade: Pesquisa e desenvolvimento 
                         cient{\'{\i}}fico, Outras atividades profissionais, 
                         cient{\'{\i}}ficas e t{\'e}cnicas.",
             keywords = "Pol{\'{\i}}tica urbana. Temperatura das superf{\'{\i}}cies. 
                         Zonas clim{\'a}ticas locais. Benchmarking.Conforto T{\'e}rmico, 
                         Urban policy. Land surface temperature. Local climate zones. 
                         Benchmarking.",
             abstract = "O aquecimento global torna necess{\'a}rio o benchmarking do 
                         tecido urbano para desenvolver pol{\'{\i}}ticas que possam 
                         promover a resili{\^e}ncia urbana ao calor. O objetivo desta 
                         pesquisa {\'e} identificar padr{\~o}es do tecido urbano que 
                         produzem a retroalimenta{\c{c}}{\~a}o negativa do sistema 
                         clim{\'a}tico urbano naturalmente. O m{\'e}todo contempla o uso 
                         de imagens Landsat-8, para estimar e mapear a temperatura das 
                         superf{\'{\i}}cies e suas caracter{\'{\i}}sticas espectrais 
                         (albedo, emissividade, fra{\c{c}}{\~a}o de cobertura de 
                         vegeta{\c{c}}{\~a}o e {\'{\i}}ndice de umidade por 
                         diferen{\c{c}}a normalizada), a integra{\c{c}}{\~a}o dos dados 
                         em um espa{\c{c}}o celular georreferenciado, an{\'a}lises de 
                         correla{\c{c}}{\~a}o, autocorrela{\c{c}}{\~a}o e de clusters, 
                         e identifica{\c{c}}{\~a}o de zonas clim{\'a}ticas locais. A 
                         {\'a}rea de estudos {\'e} S{\~a}o Jos{\'e} dos Campos, SP, 
                         Brasil, onde a zona clim{\'a}tica local 3, com 
                         constru{\c{c}}{\~o}es compactas de pequeno porte, {\'e} 
                         predominante. A maior diferen{\c{c}}a de temperatura de 
                         superf{\'{\i}}cie entre clusters foi 12 °C e ocorreu entre 
                         {\'a}reas verdes e perme{\'a}veis e {\'a}reas {\'a}reas 
                         plenamente impermeabilizadas com extensas constru{\c{c}}{\~o}es. 
                         As an{\'a}lises permitiram inferir a depend{\^e}ncia espacial da 
                         temperatura da superf{\'{\i}}cie, apesar da variabilidade 
                         sazonal, indicando que ela pode ser utilizada para identificar 
                         fatores que influenciam processos de retroalimenta{\c{c}}{\~a}o 
                         do sistema clim{\'a}tico urbano, zonas clim{\'a}ticas locais, e 
                         auxiliar no desenvolvimento de pol{\'{\i}}ticas de 
                         adapta{\c{c}}{\~a}o e resili{\^e}ncia urbana ao calor. 
                         ABSTRACT: Global warming makes urban fabric benchmarking necessary 
                         for the development of policies that promote urban heat 
                         resilience. This research is aimed at identifying urban fabric 
                         patterns, which can promote the negative feedback of the urban 
                         climate system naturally. The method includes the use of Landsat-8 
                         satellite images to estimate and to map the land surface 
                         temperatures and its spectral features (albedo, emissivity, 
                         fraction vegetation cover and normalised difference moisture 
                         index), the data integration at a cellular georeferenced space, 
                         correlation, autocorrelation and clusters analyses and the 
                         identification of local climate zones. The study area is S{\~a}o 
                         Jos{\'e} dos Campos, SP, Brazil, where local climate zone 3, 
                         where compact, small buildings predominate. The biggest difference 
                         in surface temperature was 12 °C and was detected between areas 
                         with permeable and shaded surfaces, associated with the presence 
                         of trees, and fully impermeable surfaces with large buildings. The 
                         analyses showed the spatial dependence of surface temperature, 
                         despite seasonal variability, indicating that it can be used to 
                         identify factors which influence feedback processes of the urban 
                         climate system, which can help in the development of policies to 
                         promote urban adaptation and heat resilience.",
                  doi = "10.1590/s1678-86212021000100504",
                  url = "http://dx.doi.org/10.1590/s1678-86212021000100504",
                 issn = "1415-8876",
                label = "lattes: 0638551133292550 2 FerreiraPereLaba:2021:ZoClLo",
             language = "pt",
           targetfile = "ferreira_fatores.pdf",
                  url = "http://www.scielo.br/pdf/ac/v21n1/1678-8621-ac-21-01-237.pdf",
        urlaccessdate = "09 maio 2024"
}