@InProceedings{VasconcelosCostOliv:2015:EsPaBa,
               author = "Vasconcelos, M{\^o}nica Alves de and Costa, Lizit Alencar da and 
                         Oliveira, Maria Ant{\^o}nia Falc{\~a}o de",
          affiliation = "{} and {} and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Estudo da paisagem da Bacia Hidrogr{\'a}fica do 
                         Tarum{\~a}-A{\c{c}}{\'u}, Manaus, Amazonas, utilizando imagens 
                         de radar",
            booktitle = "Anais...",
                 year = "2015",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "6459--6466",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 17. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "This study aimed to analyze the landscape of the 
                         Tarum{\~a}-A{\c{c}}u River basin using images ALOSPALSAR. For 
                         this analysis was produced the map of land cover and use of basin, 
                         using the digital supervised classification (maximum likelihood 
                         algorithm) of orbital images active sensor digital ALOS/PALSAR of 
                         the year 2007, with global accuracy of 77.47%. Landscape metrics 
                         were used for the analysis. The elements of the landscape studied 
                         in this work were: patch and matrix. The landscape ecology used 
                         were the fragments-level characterization and use classes level 
                         and coverage. The largest class of land coverage obtained was the 
                         rain forest with 64.98%. The second largest class of land coverage 
                         was represented by the urban area with 18.02%, followed by 
                         agriculture and exposed soil with 9.99%. The land cover classes 
                         with smaller percentages were secondary forest with 4.22%, and 
                         water with 2.79% of the total area. The porosity of the matrix of 
                         the basin was represented by 64,282 fragments. In relation to 
                         values of mean, median and mode of the fragments the results were 
                         similar for all classes studied, around 2. The results indicated 
                         the potential of radar to discriminate vegetation types and 
                         altered areas in the region, because of the need for specific 
                         sensors to the characteristics of the Amazon.",
  conference-location = "Jo{\~a}o Pessoa",
      conference-year = "25-29 abr. 2015",
                 isbn = "978-85-17-0076-8",
                label = "1403",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3JM4HSN",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3JM4HSN",
           targetfile = "p1403.pdf",
                 type = "Sensoriamento remoto de microondas",
        urlaccessdate = "27 abr. 2024"
}