@InProceedings{DiasAdamPerePanc:2023:CaCiSã,
               author = "Dias, Ana J{\'u}lia Magalh{\~a}es Gon{\c{c}}alves and Adami, 
                         Marcos and Perez, Let{\'{\i}}cia Palazzi and Pancher, Andreia 
                         Medinilha",
          affiliation = "{Universidade Estadual Paulista (UNESP)} and {Instituto Nacional 
                         de Pesquisas Espaciais (INPE)} and PNUD and {Universidade Estadual 
                         Paulista (UNESP)}",
                title = "Segrega{\c{c}}{\~a}o socioespacial e vulnerabilidade 
                         clim{\'a}ticas: o caso da cidade de S{\~a}o Paulo - SP",
            booktitle = "Anais...",
                 year = "2023",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de and Sanches, Ieda DelArco",
                pages = "e155690",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 20. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "Sensoriamento Remoto, Renda, Temperatura, NDVI, 
                         Impermeabiliza{\c{c}}{\~a}o, Remote Sensing, Income, 
                         Temperature, NDVI, Impervious surface.",
             abstract = "Um dos ambientes mais afetados pelo aquecimento global s{\~a}o as 
                         cidades, onde residem mais de 56% da popula{\c{c}}{\~a}o 
                         mundial. Necessitando compreender tais consequ{\^e}ncias, o 
                         objetivo desta pesquisa foi analisar a rela{\c{c}}{\~a}o 
                         espacial entre desigualdade socioecon{\^o}mica e temperatura na 
                         cidade de S{\~a}o Paulo-SP. Para essa rela{\c{c}}{\~a}o, os 
                         setores censit{\'a}rios foram dissolvidos por classe de renda e 
                         para cada pol{\'{\i}}gono resultante, foram obtidos os valores 
                         de NDVI e temperatura a partir do processamento de 129 imagens do 
                         Landsat 5 (TM) e 7 (ETM+) entre 1/10/2009 e 30/4/2010 e coletado 
                         dados de impermeabiliza{\c{c}}{\~a}o do solo. Os resultados 
                         indicaram uma rela{\c{c}}{\~a}o positiva entre renda, NDVI e 
                         impermeabiliza{\c{c}}{\~a}o e rela{\c{c}}{\~a}o negativa entre 
                         renda e temperatura. A an{\'a}lise da rela{\c{c}}{\~a}o entre 
                         temperatura e renda na cidade de S{\~a}o Paulo aponta que 
                         al{\'e}m da segrega{\c{c}}{\~a}o socioespacial e 
                         econ{\^o}mica, h{\'a} uma segrega{\c{c}}{\~a}o ambiental, 
                         agregando um fator de risco clim{\'a}tico {\`a}s 
                         popula{\c{c}}{\~o}es mais vulner{\'a}veis. ABSTRACT: One of the 
                         environments most affected by global warming are cities, where 
                         more than 56% of the worlds population reside. Needing to 
                         understand such consequences, the objective of this research was 
                         to analyze the spatial relationship between socioeconomic 
                         inequality and temperature in the city of Sao Paulo-SP. For this 
                         relationship, the census sectors were dissolved by income class 
                         and for each resulting polygon, the NDVI and temperature values 
                         were obtained from the processing of 129 images from Landsat 5 
                         (TM) and 7 (ETM+) between 10/01/2009 and 4/30/2010 and collected 
                         impervious surface data. The results indicated a positive 
                         relationship between income, NDVI and impervious surface and a 
                         negative relationship between income and temperature. The analysis 
                         of the relationship between temperature and income in the city of 
                         Sao Paulo shows that in addition to socio-spatial and economic 
                         segregation, there is environmental segregation, adding a climatic 
                         risk factor to the most vulnerable populations.",
  conference-location = "Florian{\'o}polis",
      conference-year = "02-05 abril 2023",
                 isbn = "978-65-89159-04-9",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/48URE8H",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/48URE8H",
           targetfile = "155690.pdf",
                 type = "Urbaniza{\c{c}}{\~a}o",
        urlaccessdate = "18 maio 2024"
}