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@InProceedings{VasconcelosNovo:2003:MaMaPa,
               author = "Vasconcelos, C{\'{\i}}ntia Hon{\'o}rio and Novo, Evlyn 
                         M{\'a}rcia Le{\~a}o de Moraes",
          affiliation = "{Universidade de S{\~a}o Paulo (USP). CRHEA.} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)}",
                title = "Mapeamento de macr{\'o}fitas e paliteiros do reservat{\'o}rio de 
                         Tucuru{\'{\i}} (Par{\'a}), utilizando imagens Radarsat",
            booktitle = "Anais...",
                 year = "2003",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Fonseca, Leila Maria 
                         Garcia",
                pages = "2633 - 2638",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 11. (SBSR).",
            publisher = "INPE",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "remote sensing, radar, reservoir, aquatic plants.",
             abstract = "The RADARSAT - SAR is a satellite of synthetic aperture that 
                         operates in C-Band, microwave region. The main advantage of radar 
                         systems is their capacity to collect data under any atmospheric 
                         condition, penetrating cloud covers. In rainy periods in the 
                         Brazilian Amazon, it is impossible to obtain images of optical 
                         sensors. Therefore, it is necessary to turn to radar images to get 
                         information about the dynamic of Amazon Reservoirs during such 
                         periods. The purpose of this paper is to compare two different 
                         classification approaches so as to classify aquatic plants, 
                         ?paliteiros? (dead tree trunks emerged) and open water (water 
                         without emerged tree trunks and aquatic plants) in the 
                         Tucuru{\'{\i}} reservoir (Para state). The dispersion of aquatic 
                         plants will then be indirectly related to the proliferation of 
                         malaria vectors in this region. Using RADARSAT ? C, LANDSAT5 ? TM 
                         images and aerial photographs, to validate satellite data, the 
                         best result obtained was by combining bands 3 (blue), 4 (green) of 
                         TM sensor with C-Band (red) of RADARSAT.",
  conference-location = "Belo Horizonte",
      conference-year = "5-10 abr. 2003",
           copyholder = "SID/SCD",
                 isbn = "85-17-00017-X",
             language = "Portuguese",
         organisation = "Instituto Nacional de Pesquisas Espaciais",
                  ibi = "ltid.inpe.br/sbsr/2002/11.14.17.31",
                  url = "http://urlib.net/ibi/ltid.inpe.br/sbsr/2002/11.14.17.31",
           targetfile = "18_211.pdf",
                 type = "Recursos H{\'{\i}}dricos, Limnologia e Qualidade da {\'A}gua / 
                         Hydrologic Resources, Limnology and Water Quality",
        urlaccessdate = "29 mar. 2024"
}


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