@InProceedings{Fonseca:2023:ReATe,
               author = "Fonseca, Eliana Lima da",
          affiliation = "{Universidade Federal do Rio Grande do Sul (UFRGS)}",
                title = "Rela{\c{c}}{\~a}o entre a temperatura de superc{\'{\i}}fice e 
                         a estrutura urbana estimada pelo modelo linear de mistura 
                         espectral em Porto Alegre - RS - Brasil",
            booktitle = "Anais...",
                 year = "2023",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de and Sanches, Ieda DelArco",
                pages = "e155643",
         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 = "arboriza{\c{c}}{\~a}o urbana, Landsat, densidade populacional, 
                         clima urbano, Urban green, Landsat, population density, urban 
                         climate.",
             abstract = "O Modelo Linear de Mistura Espectral foi utilizado para estimar a 
                         estrutura urbana da cidade de Porto Alegre, gerando as 
                         imagens-fra{\c{c}}{\~a}o de constru{\c{c}}{\~o}es, sombras e 
                         vegeta{\c{c}}{\~a}o a partir de imagens dos sat{\'e}lites 
                         Landsat 5 e 8 adquiridas entre os anos de 1990 e 2022. As 
                         imagens-fra{\c{c}}{\~a}o foram comparadas com os dados de 
                         temperatura de superf{\'{\i}}cie tamb{\'e}m estimados por 
                         imagens Landsat para as mesmas datas de aquisi{\c{c}}{\~a}o das 
                         imagens {\'o}pticas. Pela an{\'a}lise dos diagramas de 
                         dispers{\~a}o, n{\~a}o foi observada rela{\c{c}}{\~a}o entre a 
                         fra{\c{c}}{\~a}o vegeta{\c{c}}{\~a}o e a temperatura de 
                         superf{\'{\i}}cie. Verificouse uma rela{\c{c}}{\~a}o direta 
                         entre a fra{\c{c}}{\~a}o constru{\c{c}}{\~o}es urbanas e a 
                         temperatura de superf{\'{\i}}cie e uma rela{\c{c}}{\~a}o 
                         inversa entre a fra{\c{c}}{\~a}o sombra e a temperatura de 
                         superf{\'{\i}}cie. ABSTRACT: The Linear Spectral Mixture Model 
                         was used to estimate the urban structure, generating 
                         fraction-images of buildings, shadows and vegetation from Landsat 
                         5 and 8 satellite images acquired over the city of Porto Alegre 
                         between 1990 and 2022. Fraction-images were compared with surface 
                         temperature data also estimated by Landsat images. By analyzing 
                         the scatter diagrams, no relationship was observed between the 
                         vegetation fraction and surface temperature. There was a direct 
                         relationship between the urban construction fraction and surface 
                         temperature and an inverse relationship between the shade fraction 
                         and surface temperature.",
  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/48URDFH",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/48URDFH",
           targetfile = "155643.pdf",
                 type = "Urbaniza{\c{c}}{\~a}o",
        urlaccessdate = "17 jun. 2024"
}