@InProceedings{OliveiraFéNoGaGrRoMa:2017:AcDAMo,
               author = "Oliveira, Julianne de Castro and F{\'e}ret, Jean-Baptiste and 
                         Nouvellon, Yann and Gastellu-Etchegorry, Jean-Philippe and Grau, 
                         Eloi and Rodriguez, Luiz Carlos Estraviz and Maire, Guerric le",
                title = "Accuracy of the DART model to simulate very high spatial 
                         resolution satellite images on different genotypes of Eucalyptus 
                         stands",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "4651--4658",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 18. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "Fast-growing Eucalyptus plantations cover about 5.6 million ha in 
                         Brazil, and are among the most productive forest plantations in 
                         the world. Various Eucalyptus genotypes is cultivated, having 
                         distinct biophysical and biochemical characteristics. The use of 
                         remote sensing images to estimate Eucalyptus stand characteristics 
                         is challenging, due to the lack of knowledge on how they influence 
                         the reflectance signal. This study uses the DART radiative 
                         transfer model to evaluate the effects of forest parameters on 
                         their reflectance behavior. The first step was to test the model 
                         reliability for the simulation of reflectance images corresponding 
                         to Eucalyptus forests. We parameterized DART to simulate 
                         reflectance images in four bands (blue, green, red and NIR), using 
                         extensive measurements from plantations with 54 months old in 
                         Itatinga (SP), Brazil. A trial including 16 contrasted genotypes 
                         was planted in 10 blocks. Inventories were conducted and leaves, 
                         trunk and litter optical properties were measured. Simulations 
                         accuracy was evaluated by comparing the mean top of canopy (TOC) 
                         reflectance of DART with TOC extracted from a Pleiades satellite 
                         image. Results showed a good performance of DART with mean 
                         reflectance absolute error lower than 2 % for all bands. The 
                         second step consisted in a sensitivity analysis to explore which 
                         stand parameters influence more canopy reflectance; LAI, leaf 
                         reflectance, trees dimensions and row azimuth were most sensitive 
                         parameters. These results open perspectives on the use of DART in 
                         inversion mode to extract parameters over spatio-temporal 
                         scales.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59309",
             language = "en",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSM3FJ",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSM3FJ",
           targetfile = "59309.pdf",
                 type = "Floresta e outros tipos de vegeta{\c{c}}{\~a}o",
        urlaccessdate = "27 abr. 2024"
}