@InProceedings{PalhaNoBaCaFoMe:2003:MaEsCo,
               author = "Palha, Willian S{\'e}rgio Marques and Novo, Evlyn M{\'a}rcia 
                         Le{\~a}o Moraes and Barbosa, Cl{\'a}udio Clemente Faria and 
                         Carvalho, Albertino de Souza and Forsberg, Bruce Rider and Melack, 
                         John",
          affiliation = "{Universidade Federal do Amazonas (UFAM)} and {Instituto Nacional 
                         de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {Universidade Federal do Amazonas} 
                         and {Instituto Pesquisas da Amaz{\^o}nia (IPAM)} and {University 
                         of California. Institute for Computational Earth System 
                         Science.}",
                title = "Mapeamento e estimativa de cobertura da terra e de habitats 
                         aqu{\'a}ticos de v{\'a}rzea, na regi{\~a}o da Amaz{\^o}nia 
                         Central utilizando imagens TM/LANDSAT-5 E SAR/JERS-1",
            booktitle = "Anais...",
                 year = "2003",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Fonseca, Leila Maria 
                         Garcia",
                pages = "2853 - 2860",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 11. (SBSR).",
            publisher = "INPE",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "remote sensing, classifiction and segmention, mapping habitats.",
             abstract = "The central Amazon floodplain is composed of an extensive mosaic 
                         of wetlands including lakes and seasonally flooded grasslands and 
                         forests. These habitats are highly productive, contain a diverse 
                         biota and sustain a thriving regional fishery. The effective 
                         management of natural resources and accurate estimation of trace 
                         gas emissions in these regions have been limited by the lack of 
                         accurate wetland distribution maps. The extensive areas involved, 
                         the remote nature of the region and the seasonal variability of 
                         many wetland habitats have thwarted the use of traditional mapping 
                         procedures. We tested this approach in a training area within the 
                         central floodplain near Manaus, Amazonas, Brazil. We used a 
                         combination of images JERS-1 L-Band SAR, Landsat-5 and digital 
                         video images to classify and map these habitats six distinct 
                         classes of land cover were identified: terra firme, open white 
                         water, open black water, flooded high forest, flooded low forest, 
                         herbaceous macrophyte beds and deforested areas.",
  conference-location = "Belo Horizonte",
      conference-year = "5-10 abr. 2003",
           copyholder = "SID/SCD",
                 isbn = "85-17-00017-X",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais",
                  ibi = "ltid.inpe.br/sbsr/2002/11.18.16.05",
                  url = "http://urlib.net/ibi/ltid.inpe.br/sbsr/2002/11.18.16.05",
           targetfile = "19_409.pdf",
                 type = "Vegeta{\c{c}}{\~a}o / Vegetation",
        urlaccessdate = "24 abr. 2024"
}