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@MastersThesis{Pinto:1983:UtTéSe,
               author = "Pinto, S{\'e}rgio dos Anjos Ferreira",
                title = "Utiliza{\c{c}}{\~a}o de t{\'e}cnicas de sensoriamento remoto 
                         para a caracteriza{\c{c}}{\~a}o de eros{\~a}o do solo no SW do 
                         Estado de S{\~a}o Paulo",
               school = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                 year = "1983",
              address = "Sao Jose dos Campos",
                month = "1982-09-29",
             keywords = "estudos integrados do meio ambiente, Bacia Ribeir{\~a}o Anhumas 
                         (SP) S{\~a}o Paulo (Estado), eros{\~a}o, solos, topografia, 
                         vegeta{\c{c}}{\~a}o, Landsat-2, sat{\'e}lites Landsat, 
                         fotografia a{\'e}rea, fotointerpreta{\c{c}}{\~a}o, uso do solo, 
                         vegeta{\c{c}}{\~a}o, sistemas multiespectrais de varredura, 
                         imagens Landsat, sat{\'e}lite Landsat, geology, soil erosion, 
                         aerial photography, vegetation, land use, multispectral band 
                         scanners.",
             abstract = "Este trabalho teve como objetivo desenvolver uma metodologia de 
                         utiliza{\c{c}}{\~a}o de t{\'e}cnicas de sensoriamento remoto 
                         para a caracteriza{\c{c}}{\~a}o da eros{\~a}o do solo, 
                         considerando os fatores topogr{\'a}ficos e antr{\'o}pico. 
                         Selecionou-se como {\'a}rea de estudo a bacia do Ribeir{\~a}o 
                         Anhumas, na regi{\~a}o SW do Estado de S{\~a}o Paulo, que vem 
                         sendo submetida a processos de eros{\~a}o do solo, atrav{\'e}s 
                         de ravinamentos. Neste trabalho foram utilizadas fotografias 
                         a{\'e}reas pancrom{\'a}ticas, cartas topogr{\'a}ficas e fitas 
                         compat{\'{\i}}veis com computador (CCTs) do LANDSAT-2. 
                         Atrav{\'e}s de amostragem rand{\^o}mica em quadr{\'{\i}}culas 
                         de 1 km x 1 km foram extra{\'{\i}}das das fotografias 
                         a{\'e}reas a frequ{\^e}ncia de ravinas, o tipo de cobertura 
                         vegetal/uso da terra e as formas de vertentes; foram calculados 
                         das cartas topogr{\'a}ficas a declividade m{\'e}dia, a densidade 
                         hidrogr{\'a}fica e a extens{\~a}o de vertentes. Durante os 
                         trabalhos de campo foram obtidos dados sobre a raz{\~a}o entre 
                         porcentagem de areia fina e areia grossa e densidade de cobertura 
                         vegetal. Os dados contidos em CCTs foram analisados utilizando os 
                         algoritmos {"}Single-Cell{"}, {"}Cluster Synthesis{"} e 
                         {"}Slicer{"}, implementados no sistema Image 100. As an{\'a}lises 
                         gr{\'a}ficas e estat{\'{\i}}sticas demonstraram que a 
                         declividade e a varia{\c{c}}{\~a}o de cobertura vegetal/uso 
                         s{\~a}o os fatores mais significativos ao condicionamento da 
                         eros{\~a}o do solo. A an{\'a}lise digital das CCts/LANDSAT, 
                         referentes ao canal 5, permitiu o estabelecimento de 
                         associa{\c{c}}{\~o}es entre classes de n{\'{\i}}veis de cinza 
                         e de cobertura vegetal, sendo poss{\'{\i}}vel definir sete 
                         classes para a {\'a}rea de estudo. As classes de n{\'{\i}}veis 
                         de cinza e de declividades foram utilizadas para compor uma escala 
                         de riscos {\`a} eros{\~a}o. ABSTRAT: The objective of this study 
                         was to develop a methodology of application of remote sensing 
                         techniques to characterize soil erosion, considering topographic 
                         features and human influences. The area under study was the 
                         Ribeir{\~a}o Anhumas drainage basin, SW of S{\~a}o Paulo State 
                         (Brazil) which is undergoing rill and gullying erosion processes. 
                         The following materials were used: panchromatic aerial 
                         photographies; topographic maps and computer compatible tapes 
                         (CCTs) from MSS-LANDSAT-2 data. Within randomly sampled squares of 
                         a 1 km x 1 km grid, rill/gullies frequency, land cover/land use 
                         type and shape of the slopes were extracted from the aerial 
                         photographies; mean slope gradient, stream frequency and slope 
                         length were calculated on the topographic maps. During field work 
                         data on fine sand/coarse sand ratio and vegetation cover densities 
                         were obtained. The MSS-LANDSAT-2 data (CCTs) were analyzed using 
                         the folowing algorithms: Single-Cell, Cluster Synthesis and 
                         Slicer, implemented at the Image 100 system. The graphical and 
                         statistical analysis of the data indicated that different slope 
                         gradients and land cover/land use types are the most significant 
                         factors related to the soil erosion process. The digital analysis 
                         of MSS/5 LANDSAT-2 data (CCTs) allowed the association among gray 
                         level classes and vegetation cover classes, which defined seven 
                         classes in the study area. These gray level classes and slope 
                         gradient classes were used in order to establish an erosion risk 
                         ranking.",
            committee = "Kux, Hermann Johann Heinrich (presidente) and Queiroz Neto, 
                         Jos{\'e} Pereira de (orientador) and Amaral, Gilberto 
                         (orientador) and Lombardi Neto, Francisco and Tardin, Antonio 
                         Tebaldi",
           copyholder = "SID/SCD",
         englishtitle = "Remote sensing techniques used to characterize soil erosion in 
                         southwestern Sao Paulo state",
                label = "22",
             language = "pt",
                pages = "122",
                  ibi = "6qtX3pFwXQZ3r59YD6/GNoaU",
                  url = "http://urlib.net/rep/6qtX3pFwXQZ3r59YD6/GNoaU",
           targetfile = "publicacao.pdf",
        urlaccessdate = "11 ago. 2020"
}


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