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@Article{OliveiraFPNGCSRM:2017:SiCaRe,
               author = "Oliveira, Julianne de Castro and Feret, Jean-Baptiste and Ponzoni, 
                         Fl{\'a}vio Jorge and Nouvellon, Yann and Gastellu-Etchegorry, 
                         Jean-Philippe and Campoe, Otavio Camargo and Stape, Jos{\'e} Luiz 
                         and Rodriguez, Luiz Carlos Estraviz and Maire, Guerric le",
          affiliation = "{Universidade de S{\~a}o Paulo (USP)} and {UMR TETIS} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)} and CIRAD, UMR 
                         ECO\&SOLS and {Centre d’Etudes Spatiales de la Biosphere} and 
                         {Universidade Federal de Santa Catarina (UFSC)} and {Suzano 
                         Celulose e Papel} and {Universidade de S{\~a}o Paulo (USP)} and 
                         CIRAD, UMR ECO\&SOLS",
                title = "Simulating the canopy reflectance of different eucalypt genotypes 
                         with the DART 3-D model",
              journal = "IEEE Journal of Selected Topics in Applied Earth Observations and 
                         Remote Sensing",
                 year = "2017",
               volume = "10",
               number = "11",
                pages = "4844--4852",
                month = "Nov.",
             keywords = "Discrete Anisotropic Radiative Transfer (DART), eucalypt, 
                         radiative transfer model (RTM), remote sensing, three-dimensional 
                         (3-D) modeling.",
             abstract = "Finding suitable models of canopy reflectance in forward 
                         simulation mode is a prerequisite for their use in inverse mode to 
                         characterize canopy variables of interest, such as leaf area index 
                         (LAI) or chlorophyll content. In this study, the accuracy of the 
                         three-dimensional reflectance model DART (Discrete Anisotropic 
                         Radiative Transfer) was assessed for canopies of different 
                         genotypes of Eucalyptus, having distinct biophysical and 
                         biochemical characteristics, to improve the knowledge on how these 
                         characteristics are influencing the reflectance signal as measured 
                         by passive orbital sensors. The first step was to test the model 
                         suitability to simulate reflectance images in the visible and near 
                         infrared. We parameterized DART model using extensive measurements 
                         from Eucalyptus plantations including 16 contrasted genotypes. 
                         Forest inventories were conducted and leaf, bark, and forest floor 
                         optical properties were measured. Simulation accuracy was 
                         evaluated by comparing the mean top of canopy (TOC) bidirectional 
                         reflectance of DART with TOC reflectance extracted from a Pleiades 
                         very high resolution satellite image. Results showed a good 
                         performance of DART with mean reflectance absolute error lower 
                         than 2%. Intergenotype reflectance variability was correctly 
                         simulated, but the model did not succeed at catching the slight 
                         spatial variation for a given genotype, excepted when large gaps 
                         appeared due to tree mortality. The second step consisted of 
                         sensitivity analysis to explore which biochemical or biophysical 
                         characteristics influenced more the canopy reflectance between 
                         genotypes. Perspectives for using DART model in inversion mode in 
                         these ecosystems were discussed.",
                  doi = "10.1109/JSTARS.2017.2690000",
                  url = "http://dx.doi.org/10.1109/JSTARS.2017.2690000",
                 issn = "1939-1404 and 2151-1535",
             language = "en",
           targetfile = "oliveira_simulating.pdf",
        urlaccessdate = "29 nov. 2020"
}


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