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@Article{SawadaSJEOSASCCHLHKI:2015:Ne50Re,
               author = "Sawada, Yoshito and Suwa, Rempei and Jindo, Keiji and Endo, 
                         Takahiro and Oki, Kazuo and Sawada, Haruo and Arai, Egidio and 
                         Shimabukuro, Yosio Edemir and Celes, Carlos Henrique Souza and 
                         Campos, Moarcir Alberto Assis and Higuchi, Francisco Gasparetto 
                         and Lima, Adriano Jos{\'e} Nogueira and Higuchi, Niro and 
                         Kajimoto, Takuya and Ishizuka, Moriyoshi",
          affiliation = "Institute of Industrial Science (IIS), The University of Tokyo, 
                         Meguro, Tokyo, Japan and Forestry and Forest Products Research 
                         Institute (FFPRI), Tsukuba, Ibaraki, Japan and Institute of 
                         Industrial Science (IIS), The University of Tokyo, Meguro, Tokyo, 
                         Japan and {University of Kyoto} and Institute of Industrial 
                         Science (IIS), The University of Tokyo, Meguro, Tokyo, Japan and 
                         Institute of Industrial Science (IIS), The University of Tokyo, 
                         Meguro, Tokyo, Japan and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)} and {Instituto Nacional de Pesquisas da Amaz{\^o}nia 
                         (INPA)} and {Instituto Nacional de Pesquisas da Amaz{\^o}nia 
                         (INPA)} and {Instituto Nacional de Pesquisas da Amaz{\^o}nia 
                         (INPA)} and {Instituto Nacional de Pesquisas da Amaz{\^o}nia 
                         (INPA)} and {Instituto Nacional de Pesquisas da Amaz{\^o}nia 
                         (INPA)} and {Forestry \& Forest Prod Resesarh Institute} and 
                         Forestry and Forest Products Research Institute (FFPRI), Tsukuba, 
                         Ibaraki, Japan",
                title = "A new 500-m resolution map of canopy height for Amazon forest 
                         using spaceborne LiDAR and cloud-free MODIS imagery",
              journal = "International Journal of Applied Earth Observation and 
                         Geoinformation",
                 year = "2015",
               volume = "43",
                pages = "92--101",
                month = "Dec.",
             keywords = "Canopy height mapping, Amazon forest, ICESat/GLAS, MODIS, D-H 
                         model.",
             abstract = "In the present study, we aimed to map canopy heights in the 
                         Brazilian Amazon mainly on the basis of spacebome LiDAR and 
                         cloud-free MODIS imagery with a new method (the Self-Organizing 
                         Relationships method) for spatial modeling of the LiDAR footprint. 
                         To evaluate the general versatility, we compared the created 
                         canopy height map with two different canopy height estimates on 
                         the basis of our original field study plots (799 plots located in 
                         eight study sites) and a previously developed canopy height map. 
                         The compared canopy height estimates were obtained by: (1) a stem 
                         diameter at breast height (D)- tree height (H) relationship 
                         specific to each site on the basis of our original field study, 
                         (2) a previously developed D-H model involving environmental and 
                         structural factors as explanatory variables (Feldpausch et al., 
                         2011), and (3) a previously developed canopy height map derived 
                         from the spacebome LiDAR data with different spatial modeling 
                         method and explanatory variables (Simard et al., 2011). As a 
                         result, our canopy height map successfully detected a spatial 
                         distribution pattern in canopy height estimates based on our 
                         original field study data (r=0.845, p = 8.31 x 10(-3)) though our 
                         canopy height map showed a poor correlation (r= 0.563, p =0.146) 
                         with the canopy height estimate based on a previously developed 
                         model by Feldpausch et al. (2011). We also confirmed that the 
                         created canopy height map showed a similar pattern with the 
                         previously developed canopy height map by Simard et al. (2011). It 
                         was concluded that the use of the spaceborne LiDAR data provides a 
                         sufficient accuracy in estimating the canopy height at regional 
                         scale.",
                  doi = "10.1016/j.jag.2015.04.003",
                  url = "http://dx.doi.org/10.1016/j.jag.2015.04.003",
                 issn = "0303-2434",
             language = "en",
           targetfile = "2015_sawada.pdf",
        urlaccessdate = "02 dez. 2020"
}


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