@MastersThesis{Costa:1989:AvTéPr,
               author = "Costa, Sandra Maria Fonseca da",
                title = "Avalia{\c{c}}{\~a}o de t{\'e}cnicas de processamento digital de 
                         imagens TM-Landsat aplicadas a delimita{\c{c}}{\~o}es de 
                         {\'a}reas urbanas",
               school = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                 year = "1989",
              address = "Sao Jose dos Campos",
                month = "1989-10-10",
             keywords = "planejamento urbano, S{\~a}o Jos{\'e} dos Campos (SP), 
                         {\'a}reas urbanas, cidades, {\'{\i}}ndice de 
                         vegeta{\c{c}}{\~a}o, mapeador tem{\'a}tico (Landsat), imagens 
                         Landsat, sat{\'e}lites Landsat, urban areas, cities, vegetative 
                         index, annual variations, thematic mappers (Landsat), urban 
                         planning.",
             abstract = "O sensoriamento remoto orbital pode ser utilizado para subsidiar 
                         os estudos urbanos, dada a possibilidade de obter imagens de 
                         {\^a}mbito regional e informa{\c{c}}{\~o}es em tempo quase 
                         real, o que permite a defini{\c{c}}{\~a}o dos limites e o 
                         monitoramento urbano. Neste trabalho utilizaram-se os dados do 
                         sensor Tem{\'a}tica Mapper (TM), em CCT, da cidade de S{\~a}o 
                         Jos{\'e} dos Campos, SP, para: 1) identificar a melhor banda do 
                         sensor TM, atrav{\'e}s da distancia JM, na separabilidade entre a 
                         {\'a}rea urbana e a {\'a}rea n{\~a}o-urbana; 2) selecionar, 
                         atrav{\'e}s da estat{\'{\i}}stica Kappa, entre as t{\'e}cnicas 
                         de processamento digital, amplia{\c{c}}{\~a}o linear de 
                         contraste, raz{\~a}o de canais, {\'{\i}}ndice de 
                         vegeta{\c{c}}{\~a}o e principais componentes, a que melhor 
                         define os limites urbanos. Foram analisados os per{\'{\i}}odos 
                         secos (06/08/86) e chuvoso (09/12/85). Os resultados obtidos 
                         demonstraram que a banda 1, no per{\'{\i}}odo seco, e a banda 3, 
                         no per{\'{\i}}odo chuvoso, tiveram o melhor desempenho na 
                         separa{\c{c}}{\~a}o das classes urbana/n{\~a}o-urbana. A 
                         t{\'e}cnica de principais componentes apresentou os maiores 
                         valores de concord{\^a}ncia com a imagem padr{\~a}o na 
                         defini{\c{c}}{\~a}o do limite urbano. ABSTRACT: The orbital 
                         remote sensing can be used to help urban studies, owing to the 
                         possibility of obtaining images of regional ambit and quasi-real 
                         time information, allowing the limits definition and urban 
                         monitoring. In this work we used Thematic Mapper Sensor (TM) data, 
                         in CCT, of Sao Jos{\'e} dos Campos city, S{\~a}o Paulo State, 
                         to: 1) identify the best band of TM sensor, through JM distance, 
                         in the separability between the urban and non-urban areas; 2) 
                         select, through Kappa statistics, among the digital processing 
                         techniques, contrast-stretch, channel ratio, vegetation index and 
                         principal components, the one that best defines the urban limits. 
                         The dry season (06/08/80) and the wet season (09/12/85) were 
                         analysed. The results obtained proved that band, in the dry 
                         season, and band 3, in the wet season, had the best performance in 
                         the separability of urban/non-urban categories. The principal 
                         components technique presented the great values of agreement with 
                         the standard image in definition of the urban limit.",
            committee = "Novo, Evlyn Marcia Le{\~a}o de Moraes (presidente) and Foresti, 
                         Celina (orientadora) and Kurkdjian, Maria de Lourdes Neves de 
                         Oliveira and Garcia, Gilberto and Banon, Gerald Jean Francis",
           copyholder = "SID/SCD",
         englishtitle = "Evaluation of digital processing techniques of TM/Landsat imagery 
                         applied to urban area demarcation",
                label = "691",
             language = "pt",
                pages = "125",
                  ibi = "6qtX3pFwXQZ3r59YD6/GNt4w",
                  url = "http://urlib.net/ibi/6qtX3pFwXQZ3r59YD6/GNt4w",
           targetfile = "publicacao.pdf",
        urlaccessdate = "2024, May 01"
}