@MastersThesis{Muņoz:2009:AnGeDa,
               author = "Muņoz, Viviana Aguilar",
                title = "An{\'a}lise geomorfom{\'e}trica de dados SRTM aplicada ao estudo 
                         das rela{\c{c}}{\~o}es solo-relevo",
               school = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                 year = "2009",
              address = "S{\~a}o Jos{\'e} dos Campos",
                month = "2009-04-24",
             keywords = "geomorfometria, SRTM, geoprocessamento, relevo, solos, 
                         geomorphometry, SRTM, geoprocessing, relief, soils.",
             abstract = "Este trabalho visou levantar conhecimento sobre as 
                         rela{\c{c}}{\~o}es solo-relevo pela avalia{\c{c}}{\~a}o 
                         conjunta de dados geomorfom{\'e}tricos e mapas publicados de 
                         solos. Para tal, foram utilizados dados de altitude da miss{\~a}o 
                         SRTM (Shuttle Radar Topography Mission), vari{\'a}veis 
                         geomorfom{\'e}tricas locais do banco de dados topogr{\'a}ficos 
                         TOPODATA e vari{\'a}veis geomorfom{\'e}tricas regionais, 
                         extra{\'{\i}}das com algoritmos desenvolvidos no escopo desta 
                         pesquisa. Como fonte de dados de solos se utilizou o Levantamento 
                         Pedol{\'o}gico Semidetalhado 1:100.000 da Quadr{\'{\i}}cula de 
                         S{\~a}o Carlos, Estado de S{\~a}o Paulo, junto com o respectivo 
                         memorial descritivo. A abordagem metodol{\'o}gica esteve baseada 
                         no processo de descobrimento de conhecimento a partir de mapas, 
                         pela utiliza{\c{c}}{\~a}o de ferramentas de Sistemas de 
                         Informa{\c{c}}{\~a}o Geogr{\'a}fica e t{\'e}cnicas de 
                         interpreta{\c{c}}{\~a}o de imagens. Entre os principais 
                         resultados deste trabalho est{\~a}o, al{\'e}m dos algoritmos de 
                         an{\'a}lise regional de dados SRTM, o banco de dados 
                         geomorfom{\'e}tricos de car{\'a}ter regional da {\'a}rea de 
                         estudo, a caracteriza{\c{c}}{\~a}o geomorfom{\'e}trica dos 
                         solos de S{\~a}o Carlos e uma indica{\c{c}}{\~a}o das 
                         vari{\'a}veis geomorfom{\'e}tricas potencialmente {\'u}teis 
                         para a separa{\c{c}}{\~a}o de unidades de mapeamento destes 
                         solos, at{\'e} o n{\'{\i}}vel de grandes grupos. Entre as 
                         conclus{\~o}es deste estudo consta que: as classes das 
                         vari{\'a}veis geomorfom{\'e}tricas, cada uma a seu modo, 
                         indicaram de dois a tr{\^e}s conjuntos de classes de solos; as 
                         classes de solo da {\'a}rea de estudo, nos n{\'{\i}}veis 
                         categ{\'o}ricos ordens e subordens, foram diferenciadas entre si 
                         por pelo menos uma vari{\'a}vel geomorfom{\'e}trica; no 
                         n{\'{\i}}vel de grandes grupos algumas unidades taxon{\^o}micas 
                         se mostraram n{\~a}o separ{\'a}veis. A pesquisa mostrou que 
                         {\'e} poss{\'{\i}}vel avaliar as rela{\c{c}}{\~o}es 
                         solo-relevo na escala 1:100.000 pela integra{\c{c}}{\~a}o do 
                         processo de descobrimento de conhecimento, recursos de 
                         geoprocessamento e modelagem de dados SRTM. ABSTRACT: This work 
                         aimed at to retrieve knowledge on the soil-relief relations 
                         through the evaluation of geomorphometric data and published soil 
                         maps. This was accomplished with SRTM data (Shuttle Radar 
                         Topography Mission), the local geomorphometric data base TOPODATA, 
                         and geomorphometric regional (non-local) variables, extracted 
                         through algorithms developed within this research. The 1:100,000 
                         soil survey map of S{\~a}o Carlos, S{\~a}o Paulo State, was used 
                         as the soil data source, together with its documentation. The 
                         methodological approach was based on the knowledge discovery 
                         process from maps, on the use of tools of Geographical Information 
                         Systems and imaging interpretation techniques. The main results of 
                         this work included algorithms for regional analysis of SRTM, the 
                         resulting regional geomorphometric data base of S{\~a}o Carlos, 
                         the geomorphometric description of the occurring soils and an 
                         indication of the geomorphometric variables potentially useful to 
                         separate their mapping units. Among the conclusions, it was found 
                         that the geomorphometric classes were related to two or three soil 
                         classes, according to the considered variable, at different 
                         mapping levels; the occurring soil classes at the more general 
                         level of classification, were distinguished by at least one 
                         geomorphometric variable; at the simples mapping units level, some 
                         taxonomic units were not separable. This research showed the 
                         evaluation of soil-relief relations at 1:100,000 scale to be 
                         possible through the integration of knowledge discovering approach 
                         with geoprocessing resources and SRTM data modeling.",
            committee = "Rossetti, Dilce de F{\'a}tima (presidente) and Valeriano, 
                         M{\'a}rcio de Morisson (orientador) and Weill, Mara de Andrade 
                         Marinho",
           copyholder = "SID/SCD",
         englishtitle = "Geomorphometric analysis of SRTM data applied to the study of soil 
                         relief relations",
             language = "pt",
                pages = "112",
                  ibi = "8JMKD3MGP8W/352GPK2",
                  url = "http://urlib.net/ibi/8JMKD3MGP8W/352GPK2",
           targetfile = "publicacao.pdf",
        urlaccessdate = "05 maio 2024"
}