@InProceedings{AraiAdFrShRaMo:2009:AnSéTe,
               author = "Arai, Egidio and Adami, Marcos and Freitas, Ramon Morais de and 
                         Shimabukuro, Yosio Edemir and Rao, Vadlamudi B. and Moreira, 
                         Mauricio Alves",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)} and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "An{\'a}lise de s{\'e}ries temporais MODIS e TRMM nas {\'a}reas 
                         de caatinga, cerrado e floresta",
            booktitle = "Anais...",
                 year = "2009",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares",
                pages = "5081--5088",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 14. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "Linear Spectral Mixture Model, MODIS, TRMM, Precipitation, Modelo 
                         Linear de Mistura Espectral, precipita{\c{c}}{\~a}o.",
             abstract = "The Brazilian northeast in most part is characterized by the 
                         semi-arid climate, presenting high temperatures and little amount 
                         of rains. Meanwhile in January 2004 occurred strong rainfalls that 
                         motivated this study of vegetation green up in that region. The 
                         aim of this paper is to evaluate the vegetation response in the 
                         Northeast Brazil through Linear Spectral Mixture Model and 
                         precipitation data analysis. The Linear Spectral Mixture Model was 
                         applied to Moderate Resolution Imaging Spectroradiometer (MODIS) 
                         data to generate vegetation, soil, and shade fraction images. The 
                         MODIS images were acquired from January 2001 to December 2007 time 
                         period. The MOD13A3 Vegetation Indices monthly product with 1 km 
                         spatial resolution was used. The precipitation data was derived 
                         from Tropical Rainfall Measuring Mission (TRMM). The study area 
                         encompasses thorny scrub (caatinga), transitional rain forest, 
                         savanna (cerrado), transitional palm forest, tropical 
                         semideciduous forest and agricultural areas. Time series analysis 
                         techniques were used to compare the response of land cover in the 
                         vegetation, soil and shade fraction images with precipitation 
                         data. The Principal Component Analysis was applied to fraction 
                         images to obtain the spatial variability in the study area. The 
                         autocorrelation results showed the temporal dependence between 
                         spectral response and precipitation data. The thorny scrub 
                         response showed in the vegetation, soil and shade fraction images 
                         presented significant correlation with precipitation and showed 
                         more variability than transitional rain forest.",
  conference-location = "Natal",
      conference-year = "25-30 abr. 2009",
                 isbn = "978-85-17-00044-7",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "dpi.inpe.br/sbsr@80/2008/11.17.19.53.52",
                  url = "http://urlib.net/ibi/dpi.inpe.br/sbsr@80/2008/11.17.19.53.52",
           targetfile = "5081-5088.pdf",
                 type = "Monitoramento e Modelagem Ambiental",
        urlaccessdate = "2024, May 05"
}