@Article{PereiraKampCunh:2016:MaVeSt,
               author = "Pereira, Francisca Rocha de Souza and Kampel, Milton and 
                         Cunha-Lignon, Mar{\'{\i}}lia",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Universidade Estadual 
                         Paulista (UNESP)}",
                title = "Mangrove vegetation structure in Southeast Brazil from phased 
                         array L-band synthetic aperture radar data",
              journal = "Journal of Applied Remote Sensing",
                 year = "2016",
               volume = "10",
               number = "3",
                pages = "036021",
                month = "July",
             keywords = "mangrove, phased array type L-band synthetic aperture radar, 
                         physiographic types, synthetic aperture radar, vegetation 
                         structure development.",
             abstract = "The potential use of phased array type L-band synthetic aperture 
                         radar (PALSAR) data for discriminating distinct physiographic 
                         mangrove types with different forest structure developments in a 
                         subtropical mangrove forest located in Cananeia on the Southern 
                         coast of Sao Paulo, Brazil, is investigated. The basin and fringe 
                         physiographic types and the structural development of mangrove 
                         vegetation were identified with the application of the 
                         Kruskal-Wallis statistical test to the SAR backscatter values of 
                         10 incoherent attributes. The best results to separate basin to 
                         fringe types were obtained using copolarized HH, cross-polarized 
                         HV, and the biomass index (BMI). Mangrove structural parameters 
                         were also estimated using multiple linear regressions. BMI and 
                         canopy structure index were used as explanatory variables for 
                         canopy height, mean height, and mean diameter at breast height 
                         regression models, with significant R2 = 0.69, 0.73, and 0.67, 
                         respectively. The current study indicates that SAR L-band images 
                         can be used as a tool to discriminate physiographic types and to 
                         characterize mangrove forests. The results are relevant 
                         considering the crescent availability of freely distributed SAR 
                         images that can be more utilized for analysis, monitoring, and 
                         conservation of the mangrove ecosystem.",
                  doi = "10.1117/1.JRS.10.036021",
                  url = "http://dx.doi.org/10.1117/1.JRS.10.036021",
                 issn = "1931-3195",
             language = "en",
           targetfile = "pereira_mangrove.pdf",
        urlaccessdate = "11 maio 2024"
}