@InProceedings{XaudXaud:2017:CaDeMu,
               author = "Xaud, Maristela Ramalho and Xaud, Haron Abrahim Magalh{\~a}es",
                title = "Caracter{\'{\i}}sticas do desmatamento no munic{\'{\i}}pio de 
                         Mucaja{\'{\i}} ? Roraima ? Brasil",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "6625--6631",
         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 = "In the Brazilian Amazon, deforestation has led to a rapid 
                         transformation of forest areas into other land use and land cover 
                         types. In Roraima, the understanding of transformation dynamics is 
                         the study object of GeoMucaja{\'{\i}} Project, focusing on the 
                         municipality of Mucaja{\'{\i}}, whose rates of deforestation and 
                         environmental degradation are the highest in the State, according 
                         to PRODES (Monitoring of the Brazilian Amazon Forest By Satellite) 
                         and DEGRAD (Mapping of Forest Degradation in the Brazilian 
                         Amazon). The present work aims to analyze deforestation in 
                         Mucaja{\'{\i}} - Roraima, from 2000 to 2015, according to the 
                         size of the polygons detected by PRODES. The deforestation 
                         polygons were grouped by size into six categories: over 100 ha, 50 
                         to 100 ha, 25 to 50 ha, 10 to 25 ha, 5 to 10 ha and below 5 ha. 
                         For each year, the percentage of clouds and the dates of the 
                         images were analyzed, in order to better understand annual 
                         variation characteristics of the data. The results pointed to an 
                         intense variation of the data throughout the historical series, 
                         reaching the maximum in 2008, both in the number of openings 
                         (2096) and in the area involved (21,680 ha). Throughout the 
                         historical series there was variation in relation to the sizes of 
                         the opening polygons detected by PRODES. It was observed that 
                         openings with larger areas (above 50 ha) represented more than 50% 
                         of total deforestation in the first years of the series (up to 
                         2003), while smaller openings (below 25 ha) accounted for 75 to 
                         80% of openings in the last years (2009 to 2015). Another 
                         interesting feature of the series analyzed is the increase in the 
                         percentage of cloud coverage present in the images used, reaching 
                         a maximum of 52% in 2010, indicating a need for a change in the 
                         choice of images for the State of Roraima.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59860",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSMD9H",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSMD9H",
           targetfile = "59860.pdf",
                 type = "Monitoramento e modelagem ambiental",
        urlaccessdate = "27 abr. 2024"
}