@InProceedings{BispoValeOliv:2009:GrQuAm,
               author = "Bispo, Polyanna da Concei{\c{c}}{\~a}o and Valeriano, 
                         M{\'a}rcio de Morisson and Oliveira, Carlos Henke de",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais} and {Instituto 
                         Nacional de Pesquisas Espaciais} and {Universidade Regional 
                         Integrada do Alto Uruguai e das Miss{\~o}es}",
                title = "Gradiente da qualidade ambiental entre oito {\'a}reas urbanas do 
                         nordeste do estado de S{\~a}o Paulo com o uso de NDVI",
            booktitle = "Anais...",
                 year = "2009",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares",
                pages = "601--608",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 14. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "urbanization, geographic information systems, green area, 
                         urbaniza{\c{c}}{\~a}o, sistemas de informa{\c{c}}{\~o}es 
                         geogr{\'a}ficas, {\'a}reas verdes.",
             abstract = "This paper aims to analyze its use to identify environmental 
                         quality gradient among eight cities located on northeast of 
                         S{\~a}o Paulo State, Brazil, as indicated by the NDVI (Normalized 
                         Difference Vegetation Index) data from orbital sensors. NDVI was 
                         derived from Landsat 5 satellite data and the processing was 
                         accomplished with IDRISI 32 and Mapinfo 4.1 Geographic Information 
                         Systems. The data were analyzed according to statistical linear 
                         correlation and analysis of variance (ANOVA). An ANOVA was applied 
                         as a test for NDVI variation between the sites (8 urban areas and 
                         3 physiognomies references). To check whether there were 
                         differences considering the location (8 cities) and context (or 
                         surrounding urban core) ANOVA was applied with two factors. Faced 
                         with rejection of the null hypothesis indicating significant 
                         differences, Tukeys test was applied to identify homogeneous 
                         groups for average values of NDVI. Statistical differences among 
                         cities and its neighbors were identified. NDVI for natural 
                         physiognomies and agricultural systems (sugar-cane) supplied data 
                         to compare urban and non-urban sites and allow us to establish 
                         each urban nucleus on a specific position inside a gradient from 
                         the typical regional natural vegetation to an intensive managed 
                         agro-ecosystem. However it was found no statistical correlation 
                         among NDVI for cities, populational density and per capita income, 
                         suggesting that the urban environmental quality is better 
                         explained by a combination of several aspects related to the urban 
                         structure and territorial occupation history for each city.",
      accessionnumber = "0",
  conference-location = "Natal",
      conference-year = "25-30 abr. 2009",
                 isbn = "978-85-17-00044-7",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "dpi.inpe.br/sbsr@80/2008/11.16.08.32",
                  url = "http://urlib.net/rep/dpi.inpe.br/sbsr@80/2008/11.16.08.32",
           targetfile = "601-608.pdf",
                 type = "Ambientes Urbanos",
        urlaccessdate = "18 jan. 2021"
}