@Article{TreuhaftCDSGMGD:2006:Es3dSt,
               author = "Treuhaft, Robert and Chapman, Bruce and Dutra, Luciano and Santos, 
                         Jo{\~a}o Roberto dos and Gon{\c{c}}alves, F{\'a}bio and Mura, 
                         Jos{\'e} Claudio and Graca, Paulo Maur{\'{\i}}cio de Alencastro 
                         and Drake, Jason",
          affiliation = "Jet Propulsion Laboratory, California Institute of Technology and 
                         Jet Propulsion Laboratory, California Institute of Technology and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)} and Instituto Nacional de Pesquisas da 
                         Amaz{\^o}nia, Manaus and USDA Forest Service, Tallahassee, FL 
                         USA.",
                title = "Estimating 3-dimensional structure of tropical forests from radar 
                         Interferometry",
              journal = "Ambi{\^e}ncia",
                 year = "2006",
               volume = "2",
               number = "edi{\c{c}}{\~a}o especial",
                pages = "111--119",
             keywords = "PROCESSAMENTO DE IMAGENS, forest profile, radar interferometry, 
                         Iinterferometric synthetic aperture radar (InSAR) , vegetation 
                         density.",
             abstract = "This paper describes the retrieval of 3-dimensional vegetation 
                         density profiles from interferometric synthetic aperture radar 
                         (InSAR) using physical models. InSARs sensitivity to vertical 
                         structure is generally regarded as less direct and more difficult 
                         to understand than that of lidar. But InSARs coverage is superior 
                         to that of lidar, suggesting InSAR is more promising as an 
                         important component of a global 3-dimensional forest monitoring 
                         technique. The goal of this paper is to introduce, simplify and 
                         demystify the use of simple physical models to understand InSAR. A 
                         general equation expressing the InSAR observation in terms of 
                         density is described heuristically, along with the approximations 
                         in its development. The information content of the equation leads 
                         to the estimation of density parameters. Preliminary results are 
                         shown from a multibaseline C-band (wavelength=0.056 m) 
                         vertical-polarization interferometer, realized with AirSAR flown 
                         at multiple altitudes over primary, secondary, and selectively 
                         logged tropical forests, as well as abandoned pastures at La Selva 
                         Biological Station in Costa Rica.",
           copyholder = "SID/SCD",
                 issn = "1808-0251",
             language = "en",
           targetfile = "estimating - dutra.pdf",
        urlaccessdate = "16 jun. 2024"
}