@Article{GamaSantMura:2016:PaUsIn,
               author = "Gama, F{\'a}bio Furlan and Santos, Jo{\~a}o Roberto dos and 
                         Mura, Jos{\'e} Cl{\'a}udio",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)}",
                title = "Continuous monitoring of biophysical Eucalyptus sp. parameters 
                         using interferometric synthetic aperture radar data in P and X 
                         bands",
              journal = "Journal of Applied Remote Sensing",
                 year = "2016",
               volume = "10",
               number = "2",
                pages = "026002",
                month = "Apr.",
             keywords = "Biophysical modeling, Eucalyptus stands, Forest inventory, 
                         Interferometry, remote sensing, Synthetic aperture radar.",
             abstract = "This work aims to verify the applicability of models obtained 
                         using interferometric synthetic aperture radar (SAR) data for 
                         estimation of biophysical Eucalyptus saligna parameters [diameter 
                         of breast height (DBH), total height and volume], as a method of 
                         continuous forest inventory. In order to obtain different digital 
                         elevation models, and the interferometric height (Hint) to 
                         retrieve the tree heights, SAR surveying was carried out by an 
                         airborne interferometric SAR in two frequencies X and P bands. The 
                         study area, located in the Brazilian southeast region (S 
                         22°53\′22\″/W 45°26\′16\″ and S 
                         22°53\′22\″/W 45°26\′16\″), comprises 
                         128.64 hectares of Eucalyptus saligna stands. The methodological 
                         procedures encompassed: forest inventory, topographic surveying, 
                         radar mapping, radar processing, and multivariable regression 
                         techniques to build Eucalyptus volume, DBH, and height models. The 
                         statistical regression pointed out Hint and interferometric 
                         coherence as the most important variables for the total height and 
                         DBH estimation; for the volume model, however, only the Hint 
                         variable was selected. The performance of the biophysical models 
                         from the second campaign, two years later (2006), were consistent 
                         and its results are very promising for updating annual inventories 
                         needed for managing Eucalyptus plantations.",
                  doi = "10.1117/1.JRS.10.026002",
                  url = "http://dx.doi.org/10.1117/1.JRS.10.026002",
                 issn = "1931-3195",
             language = "en",
           targetfile = "gama_continuous.pdf",
        urlaccessdate = "27 abr. 2024"
}