@InProceedings{VicenteSouzPere:2007:UsInOn,
               author = "Vicente, Luiz Eduardo and Souza Filho, Carlos Roberto de and Perez 
                         Filho, Archimedes",
          affiliation = "{Universidade Estadual de Campinas (UNICAMP). IGE.} and 
                         {Universidade Estadual de Campinas (UNICAMP). IGE.} and 
                         {Universidade Estadual de Campinas (UNICAMP). IGE.}",
                title = "O uso do infravermelho de ondas curtas (SWIR) no mapeamento de 
                         fitofisionomias em ambiente tropical por meio de 
                         classifica{\c{c}}{\~a}o hiperespectral de dados do sensor 
                         ASTER",
            booktitle = "Anais...",
                 year = "2007",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares and Fonseca, Leila Maria Garcia",
                pages = "1915--1922",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 13. (SBSR).",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "ASTER sensor, remote sensing, image processing, vegetation 
                         species, tropical environment, sensor ASTER, sensoriamento remoto, 
                         processamento de imagens, fitofisionomias, ambiente tropical.",
             abstract = "This study describes the application of image hyperspectral 
                         processing technique to ASTER data satellite, with emphasis in the 
                         short wave infrared region (SWIR), for the mapping vegetation 
                         species in the tropical environment. The use of the SWIR is not 
                         usually for the vegetation mapping, but this region of REM 
                         comprises important biophysical and biochemical elements from 
                         vegetation (e.g. lignin, cellulose). By using Mixture Tuned 
                         Matched Filtering (MTMF) algorithm, spectral feature-oriented 
                         analysis and the field data control target, it has mapped several 
                         vegetation species in the Itirapina region (S{\~a}o Paulo State), 
                         such as woodland, shrubland, grasslands (tropical savannah), 
                         tropical semideciduous forest, etc. Results show that ASTER data 
                         and advanced hyperspectral techniques are able to map vegetation 
                         endmembers with high spectral correlation, like tree strata, shrub 
                         or grass strata, which are of fundamental importance to 
                         understanding process and transformations in tropical environments 
                         systems.",
  conference-location = "Florian{\'o}polis",
      conference-year = "21-26 abr. 2007",
                 isbn = "978-85-17-00031-7",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "dpi.inpe.br/sbsr@80/2006/11.14.18.28",
                  url = "http://urlib.net/ibi/dpi.inpe.br/sbsr@80/2006/11.14.18.28",
           targetfile = "1915-1922.pdf",
                 type = "Floresta",
        urlaccessdate = "08 maio 2024"
}