Close
Metadata

@InProceedings{SilvaBapt:2013:VaMoSe,
               author = "Silva, Suzy Cristina Pedroza da and Baptista, Gustavo Macedo de 
                         Mello",
                title = "Varia{\c{c}}{\~o}es na Modelagem do Sequestro Florestal de 
                         Carbono por meio de Dados Hiperespectrais na Floresta Nacional do 
                         Tapaj{\'o}s, Par{\'a}",
            booktitle = "Anais...",
                 year = "2013",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares",
                pages = "9020--9027",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 16. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "The aim of this study is analyze the influence of vegetation 
                         indices in spatial forest carbon sequestration, through CO2flux 
                         proposed by Rahman et al. (2000) and by changes in its structure 
                         by adopting the other vegetation indices (EVI and EVI2) in the 
                         Tapajos National Forest, Para, by means of a Hyperion scene. 
                         Besides the changes, rates of carbon sequestration were correlated 
                         with ICO2 spectral index. We observed more details of 
                         photosynthetic activity with these two indices, and the CO2fluxEVI 
                         showed intermediate values in the A-B transect, compared to 
                         CO2flux, which had the highest values and CO2fluxEVI2 with minors. 
                         The highest determination coefficient between the carbon sink and 
                         the CO2 content in the atmospheric column of air was obtained with 
                         CO2flux (Rē = 0.84), but the CO2fluxEVI and CO2fluxEVI2 presented 
                         higher Rē (0.73 and 0.59) too. The Pearson correlation matrix 
                         could be concluded that the NDVI is the index that best correlates 
                         with CO2flux and ICO2. However, the other two indexes proposed 
                         also have high correlations with the advantage of minimizing 
                         saturation, soil background and atmospheric effects.",
  conference-location = "Foz do Igua{\c{c}}u",
      conference-year = "13-18 abr. 2013",
                 isbn = "{978-85-17-00066-9 (Internet)} and {978-85-17-00065-2 (DVD)}",
                label = "63",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "3ERPFQRTRW34M/3E7G6D8",
                  url = "http://urlib.net/ibi/3ERPFQRTRW34M/3E7G6D8",
           targetfile = "p0063.pdf",
                 type = "Sensoriamento Remoto Hiperespectral",
        urlaccessdate = "2022, Jan. 22"
}


Close