@MastersThesis{Niero:1977:UtDaOr,
               author = "Niero, Madalena",
                title = "Utiliza{\c{c}}{\~a}o de dados orbitais do LANDSAT-1 na 
                         classifica{\c{c}}{\~a}o de uso do solo urbano de S{\~a}o 
                         Jos{\'e} dos Campos",
               school = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                 year = "1977",
              address = "Sao Jose dos Campos",
                month = "1977-12-30",
             keywords = "planejamento urbano, S{\~a}o Jos{\'e} dos Campos (SP) Vale do 
                         Para{\'{\i}}ba (SP), I-100, LANDSAT 1, uso da terra, 
                         sat{\'e}lites LANDSAT, cidades, {\'a}reas industriais, 
                         fotointerpreta{\c{c}}{\~a}o, dist{\^a}ncia B, land use, cities, 
                         industrial areas, land use, residential areas, urban planning.",
             abstract = "O objetivo deste estudo foi comparar a precis{\~a}o de 
                         classifica{\c{c}}{\~a}o de uso do solo urbano atrav{\'e}s de 
                         diferentes op{\c{c}}{\~o}es de aquisi{\c{c}}{\~a}o de 
                         assinatura, dispon{\'{\i}}veis no IMAGE-100, e do classificador 
                         de amostra baseado na dist{\^a}ncia Bhattacharyya 
                         ({"}dist{\^a}ncia B{"}). Procurou-se tamb{\'e}m verificar a 
                         separabilidade estat{\'{\i}}stica existente entre as classes de 
                         uso do solo levantadas para todas as combina{\c{c}}{\~o}es de um 
                         at{\'e} quatro canais espectrais do LANDSAT-1. A cidade de 
                         S{\~a}o Jos{\'e} dos Campos localizada na regi{\~a}o 
                         fisiogr{\'a}fica do m{\'e}dio Vale do Para{\'{\i}}ba (Estado 
                         de S{\~a}o Paulo), foi utilizada como {\'a}rea teste. Foram 
                         analisadas as seguintes classes de uso do solo urbano: residencial 
                         uni-familiar, residencial multi-familiar, comercial, industrial, 
                         institucional, agr{\'{\i}}cola e desocupada. A m{\'e}dia dos 
                         erros de omiss{\~a}o obtidos para as sete classes nas 
                         op{\c{c}}{\~o}es de classifica{\c{c}}{\~a}o unic{\'e}lula, 
                         multi-c{\'e}lula, aquisi{\c{c}}{\~a}o interativa de assinaturas 
                         e classificador de amostras {"}dist{\^a}ncia B{"} foram 23%, 71%, 
                         32% e 32% respectivamente. A m{\'e}dia dos erros de inclus{\~a}o 
                         para cada op{\c{c}}{\~a}o de classifica{\c{c}}{\~a}o 
                         uni-c{\'e}lula, multi-c{\'e}lula, aquisi{\c{c}}{\~a}o 
                         interativa de assinatura e classificador de amostras 
                         {"}dist{\^a}ncia B{"} foram 28%, 8%, 27% e 6% respectivamente. 
                         ABSTRACT: The purpose of this study was to compare the 
                         classification accuracy of various options of signature 
                         acquisition of IMAGE-100 and sample classifier based on 
                         Bhattacharyya distance (B distance) for land use classes using 
                         multispectral scanner data of LANDSAT-1 satellite. Another 
                         objective of the study was to determine the statistical 
                         separability of seven land use classes in all the possible 
                         combinations of one to four spectral channels, out of four 
                         available channels of LANDSAT-I. S{\~a}o Jos{\'e} dos Campos was 
                         used as test site and is situated in the physiographic Central 
                         Valley of the Para{\'{\i}}ba River region in State of S{\~a}o 
                         Paulo. With the help of ground observations and aerial 
                         photography, a map of S{\~a}o Jos{\'e} dos Campos showing the 
                         following seven classes was obtained: single family residential 
                         areas, multi-family residential areas, commercial areas, 
                         industrial areas, institutional areas, agricultural areas and 
                         unoccupied areas. Each of these classes was divided into two 
                         independent sets: training areas and test areas. Errors of 
                         omission and commission were calculated for each classification 
                         option. The average of errors of omission and commission over the 
                         seven land use classes for the options single cell, multicell, 
                         interactive signature acquisition and sample classifier were found 
                         to be: single-cell (23%/28%) multi-cell (71%/8%) interactive 
                         signature acquisition (32%/27%) and sample classifier (32%/6%). In 
                         the subsets of one to three spectral channels, channel 4, channels 
                         4 \& 7, channels 4, 5 \& 7 were found to be the best ones for 
                         getting good overall statistical separability of land use 
                         classes.",
            committee = "Mascarenhas, Nelson Delfino D'Avila (presidente) and Kumar, 
                         Ravindra (orientador) and Silva, Jorge Xavier da (orientador) and 
                         Novaes, Ren{\'e} Antonio and Gielow, Ralf",
           copyholder = "SID/SCD",
         englishtitle = "Utilization of orbital data from LANDSAT-1 in the classification 
                         of urban land usage of the S{\~a}o Jos{\'e} grassland",
                label = "48",
             language = "pt",
                pages = "90",
                  ibi = "6qtX3pFwXQZ3r59YD6/GLF8T",
                  url = "http://urlib.net/ibi/6qtX3pFwXQZ3r59YD6/GLF8T",
           targetfile = "publicacao.pdf",
        urlaccessdate = "2024, May 02"
}