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@InProceedings{VedovatoAraiAndeArag:2017:AnEsOc,
               author = "Vedovato, Laura Barbosa and Arai, Egidio and Anderson, Liana 
                         Oighenstein and Arag{\~a}o, Luiz Eduardo Oliveira e Cruz de",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)}",
                title = "An{\'a}lise espa{\c{c}}o-temporal da ocorr{\^e}ncia de focos de 
                         calor e fragmenta{\c{c}}{\~a}o florestal na Amaz{\^o}nia 
                         Brasileira",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "2485--2492",
         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 = "This work aimed carrying out a spatio-temporal analysis of the 
                         relationship between fire hot spots and fragmentation in the 
                         Brazilian Amazon from 2003 to 2014. We used fire hot spots data 
                         from the MCD14ML product of the MODIS sensor. Morphological 
                         Spatial Pattern Analysis (MSPA) methodology was used to calculate 
                         forest fragmentation metrics. This technique provides various 
                         landscape classes such core area, islet, loop, bridge, 
                         perforation, edge and branch. The loop, bridge and branch classes 
                         for having the same function of connecting different extremities 
                         were united into a single class called corridor. A correlation 
                         analysis per pixel (Pearsonīs Coefficient R) was carried out over 
                         the time series to understand the relationship between fire hot 
                         spots and the fragmentation classes. The class of fragmentation 
                         that presented the largest number of significant cells correlated 
                         with the occurrence of hot spots was the corridor with 23.9% of 
                         all cells, followed by core area (16.7%), perforation (13%), edge 
                         (11.7%) and islet (5.1%). We conclude therefore that the classes 
                         most exposed to anthropic influences and of smaller sizes are the 
                         most susceptible to events of fire. The mitigation of 
                         deforestation and consequent forest fragmentation, and fire events 
                         is essential for the preservation and conservation of the 
                         Amazonian ecosystem.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59262",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSLQLT",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSLQLT",
           targetfile = "59262.pdf",
                 type = "Degrada{\c{c}}{\~a}o de florestas",
        urlaccessdate = "29 mar. 2024"
}


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