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@MastersThesis{Silva:1985:MaFoVe,
               author = "Silva, Dagoberto",
                title = "Mapeamento das forma{\c{c}}{\~o}es vegetais e da 
                         varia{\c{c}}{\~a}o da l{\^a}mina d'{\'a}gua em parte do Parque 
                         Nacional do Pantanal Mato-Grossense e adjac{\^e}ncias, 
                         atrav{\'e}s de t{\'e}cnicas de sensoriamento remoto",
               school = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                 year = "1985",
              address = "S{\~a}o Jos{\'e} dos Campos",
                month = "1985-05-07",
                 note = "{4 mapas. escala: 1:40.000}",
             keywords = "Pantanal Mato-grossense, sensoriamento remoto, processamento 
                         digital, vegeta{\c{c}}{\~a}o,TM-LANDSAT, Pantanal Matogrossense, 
                         remote sensing, digital processing, vegetation, TM-LANDSAT.",
             abstract = "Este estudo teve por objetivo principal mapear as 
                         forma{\c{c}}{\~o}es vegetais e a varia{\c{c}}{\~a}o da 
                         l{\^a}mina d'{\'a}gua em parte do Parque Nacional do Pantanal 
                         Mato-grossense e adjac{\^e}ncias, atrav{\'e}s de t{\'e}cnicas 
                         de sensoriamento remoto.Utilizaram-se fotografias a{\'e}reas 
                         infravermelhas coloridas e dados digitais do MSS-LANDSAT. 
                         Comparou-se o mapa de cobertura vegetal obtido atrav{\'e}s da 
                         interpreta{\c{c}}{\~a}o das fotoqrafias a{\'e}reas com aqueles 
                         obtidos atrav{\'e}s do processamento digital 
                         (classifica{\c{c}}{\~a}o supervisionada e 
                         n{\~a}o-supervisionada) de dados do MSS-LANDSAT. O uso das 
                         fotografias a{\'e}reas possibilitou identificar as seguintes 
                         unidades de vegeta{\c{c}}{\~a}o: Floresta Estacional 
                         Semidecidual das Terras Baixas, Floresta Estacional Semidecidual 
                         Aluvial, Vegeta{\c{c}}{\~a}o de Transi{\c{c}}{\~a}o e Campos 
                         Inund{\'a}veis. No processamento digital de dados do MSS-LANDSAT, 
                         a Floresta Estacional Semidecidual Aluvial e a 
                         Vegeta{\c{c}}{\~a}o de Transi{\c{c}}{\~a}o apresentaram 
                         respostas espectrais semelhantes, por isto formaram uma {\'u}nica 
                         classe. A unidade Campos Inund{\'a}veis foi dividida em duas 
                         subclasses, devido a diferentes conte{\'u}dos de unidade. A 
                         classifica{\c{c}}{\~a}o supervisionada forneceu resultados mais 
                         precisos do que a classifica{\c{c}}{\~a}o 
                         n{\~a}o-supervisionada. A utiliza{\c{c}}{\~a}o do algoritmo 
                         SLICER no canal 7 do MSS-LANDSAT permitiu mapear uma {\'a}rea de 
                         l{\^a}mina d'{\'a}gua 33,9 vezes maior na {\'e}poca de cheias 
                         do que na {\'e}poca de vazante. ABSTRACT: The main objective of 
                         this study was to map the plant associations and the variation of 
                         the water surface in part of the Pantanal Mato-grossense National 
                         Park and its surroundings, using remote sensing techniques. Color 
                         infrared aerial photographs and MSS-LANDSAT digital data were 
                         used. The vegetation cover map obtained by the interpretation of 
                         aerial photographs was compared with maps obtained by digital 
                         processing (supervised and nonsupervised classification) of the 
                         MSS-LANDSAT data. Using aerial photographic interpretation 
                         techniques, the following vegetation units were identified: 
                         Semideciduous Seasonal Forest of the Lowlands, Semideciduous 
                         Seasonal Alluvial Forest, Vegetation of Tiansition and Seasonally 
                         Flooded Grasslands. The digital processing of the MSS-LANDSAT data 
                         indicqted that Semideciduous Seasonal Alluvial Forest and the 
                         Vegetation of Transition had similar spectral responses. Due to 
                         this spectral similarity these vegetation units were included in 
                         one class. The Seasonally Flooded Grasslands unit was considered 
                         as two subclasses, due to different moisture contents. The 
                         supervised classification provided more accurate results than the 
                         nonsupervised classification. The utilization of the SLICER 
                         algorithm at the MSS-LANDSAT 7 band allowed mapping a water 
                         surface 33,9 times bigger in the flooded season than in the dry 
                         season.",
            committee = "Batista, Get{\'u}lio Teixeira (presidente) and Kux, Hermann 
                         (orientador) and Carneiro, Carlos Marx Ribeiro and Disperati, 
                         Attilio Antonio and Almeida Filho, Raimundo de",
           copyholder = "SID/SCD",
         englishtitle = "Mapping of vegetation formations and variation of water extension 
                         in part of the National Park Pantanal Matogrossense and adjacency, 
                         using remote sensing techniques.",
                label = "17",
             language = "pt",
                pages = "80",
                  ibi = "6qtX3pFwXQZ3r59YD6/GNnGc",
                  url = "http://urlib.net/rep/6qtX3pFwXQZ3r59YD6/GNnGc",
           targetfile = "publicacao.pdf",
        urlaccessdate = "23 jan. 2021"
}


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