@InProceedings{SilvaAraGalMouSil:2017:DeMoBa,
               author = "Silva, Ricardo Dal Agnol da and Arag{\~a}o, Luiz Eduardo Oliveira 
                         e Cruz de and Galv{\~a}o, L{\^e}nio Soares and Moura, Yhasmin 
                         Mendes de and Silva, Camila Val{\'e}ria de Jesus",
          affiliation = "{} and {Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)}",
                title = "Detec{\c{c}}{\~a}o da mortalidade de bambus em florestas do 
                         sudoeste amaz{\^o}nico usando dados MODIS (MAIAC)",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "3767--3773",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 18. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "The southwest Amazon forests are dominated of bamboo species of 
                         the genus Guadua and cover about 161,500 km2. These individuals 
                         have a life cycle of about 28 years and present only one 
                         reproductive event followed by their death. This process 
                         accumulates dry biomass in the forest and increases the 
                         probability of fire occurrence. Since extreme drought events 
                         increase fire vulnerability, and this region has been affected by 
                         some of these events in the last decades, it is possible that 
                         bamboos are related to a higher occurrence of forest fires. In 
                         this sense, the objective of the present study was to evaluate the 
                         detection of bamboo mortality in southwest Amazon forests using 
                         MODIS (MAIAC) data, spectral mixture modeling and CART decision 
                         tree. The combined use of band 5 (medium infrared) and GV fraction 
                         allowed the detection of bamboo mortality with 56% accuracy. The 
                         bamboo life stages can be differentiated because of different 
                         spectral patterns, especially on the near and medium infrared 
                         wavelengths, and distinct intra-annual seasonality patterns from 
                         non-bamboo forest. It was possible to map the bamboo-dominated 
                         forests, including bamboo life stages, and non-bamboo-dominated 
                         forests with 76% accuracy. The mortality detected in this study 
                         may have been influenced by the occurrence of fire.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59289",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSLTGK",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSLTGK",
           targetfile = "59289.pdf",
                 type = "Floresta e outros tipos de vegeta{\c{c}}{\~a}o",
        urlaccessdate = "27 abr. 2024"
}