@InProceedings{SilvaAlmWieRibKor:2017:ApLiSp,
               author = "Silva, Alindomar Lacerda and Almeida, Catherine Torres de and 
                         Wiederkehr, Natalia Cristina and Ribeiro, Renata Maciel and 
                         Korting, Thales Sehn",
          affiliation = "{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 Espaciais 
                         (INPE)}",
                title = "Application of the Linear Spectral Mixture Model in vegetation 
                         change detection based on the Green Vegetation Index",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "2592--2599",
         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 Amazon forest, which is one of the main tropical forests in 
                         the globe, has been undergoing to anthropogenic pressure, what 
                         could lead to forest loss and degradation. As a consequence, 
                         public policies focusing on preservation, conservation and 
                         monitoring are mandatory, especially in protected areas. The use 
                         of satellite imagery allows a better understanding of how human 
                         activities are causing land use and land cover change (LULCC). The 
                         aim of this study is to identify land cover change from 2001 to 
                         2004, inside and outside the National Forest of Tapaj{\'o}s 
                         (FLONA Tapaj{\'o}s), using the Linear Spectral Mixture Model 
                         (LSMM) and a Green Vegetation (GV) index. Results showed that the 
                         biggest changes between 2001 and 2004 occurred outside the FLONA. 
                         The GV Index was more suited to detect small losses of vegetation 
                         than the GV fraction alone.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59979",
             language = "en",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSLQSL",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSLQSL",
           targetfile = "59979.pdf",
                 type = "Degrada{\c{c}}{\~a}o de florestas",
        urlaccessdate = "27 abr. 2024"
}