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@InProceedings{VeronaShimSant:2005:PoImMu,
               author = "Verona, Jane Delane and Shimabukuro, Yosio Edemir and Santos, 
                         Jo{\~a}o Roberto dos",
          affiliation = "{ABE - Associa{\c{c}}{\~a}o Brasileira de Ec{\'o}logos} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)}",
                title = "Potencialidade das imagens-fra{\c{c}}{\~a}o multitemporais 
                         TM/Landsat na caracteriza{\c{c}}{\~a}o de varia{\c{c}}{\~o}es 
                         fenol{\'o}gicas em {\'a}rea de floresta tropical na 
                         Amaz{\^o}nia",
            booktitle = "Anais...",
                 year = "2005",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Fonseca, Leila Maria 
                         Garcia",
                pages = "713--720",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 12. (SBSR)",
            publisher = "INPE",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "remote sensing, image processing, linear mixture model, phenology, 
                         climatic change, precipitation, sensoriamento remoto, 
                         processamento de imagens, modelo linear de mistura espectral, 
                         fenologia, mudan{\c{c}}as clim{\'a}ticas, 
                         precipita{\c{c}}{\~a}o.",
             abstract = "The present work was made at Tapaj{\'o}s National Forest ( 
                         Par{\'a}-Brazil), with the aim of validating the hypotheses that 
                         the ombrophile dense forest (from low lands and submontains) can 
                         show phenology variations perceptible from orbital data 
                         (multitemporal and multiseasonal TM/Landsat-5 images). In this 
                         context, the aim was to relate values derived of the 
                         fraction-components vegetation, soil and shadow (resultant from 
                         the Linear Spectral Mixture Model) and from NDVI, with 
                         precipitation values. Stages of geometric and radiometric 
                         rectification were initially realized. Seven thematic classes were 
                         defined with field work support and several correlations were 
                         established. A higher correlation coefficient (R = 0.94) was found 
                         for the average of the forest cover classes derived from the 
                         fraction-image vegetation versus precipitation, showing that the 
                         local vegetation responds to the climatic variation, possibly 
                         expressed through phenology. The NDVI practically did not show any 
                         correlation with the precipitation values, possibly due to a quick 
                         saturation in forest environment.",
  conference-location = "Goi{\^a}nia",
      conference-year = "16-21 abr. 2005",
                 isbn = "85-17-00018-8",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais",
                  ibi = "ltid.inpe.br/sbsr/2004/11.11.22.57",
                  url = "http://urlib.net/rep/ltid.inpe.br/sbsr/2004/11.11.22.57",
           targetfile = "713.pdf",
                 type = "An{\'a}lise e Aplica{\c{c}}{\~a}o de Imagens Multitemporais",
        urlaccessdate = "17 jan. 2021"
}


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