@InProceedings{SaraivaAraRafSouMen:2009:BoViPB,
               author = "Saraiva, Alzira Gabrielle Soares and Aranha, Tha{\'{\i}}s Regina 
                         Benevides Trigueiro and Rafael, Renata de Ara{\'u}jo and Sousa, 
                         Ridelson Farias de and Meneses, Leonardo Figueiredo de",
          affiliation = "{Centro Federal de Educa{\c{c}}{\~a}o Tecnol{\'o}gica da 
                         Para{\'{\i}}ba} and {Centro Federal de Educa{\c{c}}{\~a}o 
                         Tecnol{\'o}gica da Para{\'{\i}}ba} and {Centro Federal de 
                         Educa{\c{c}}{\~a}o Tecnol{\'o}gica da Para{\'{\i}}ba} and 
                         {Centro Federal de Educa{\c{c}}{\~a}o Tecnol{\'o}gica da 
                         Para{\'{\i}}ba} and {Centro Federal de Educa{\c{c}}{\~a}o 
                         Tecnol{\'o}gica da Para{\'{\i}}ba}",
                title = "Avalia{\c{c}}{\~a}o do processo de desertifica{\c{c}}{\~a}o da 
                         sub-bacia do rio S{\~a}o Pedro - Boa Vista/ PB, utilizando 
                         sensoriamento remoto e t{\'e}cnicas de tratamento digital de 
                         imagens",
            booktitle = "Anais...",
                 year = "2009",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares",
                pages = "2169--2175",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 14. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "CBERS image, degradation, rivers, semi-arid, satellite of image, 
                         degrada{\c{c}}{\~a}o, rio, semi-{\'a}rido, imagens de 
                         sat{\'e}lite.",
             abstract = "The region of sub-basin of the San Pedro River located in the city 
                         of Boa Vista-PB has suffered with the intensive use of their land 
                         in agricultural activities and livestock, which has resulted in 
                         the degradation of them because of the practice of burning and 
                         deforestation of the native vegetation of the semi-arid northeast. 
                         As a result the process of erosion occurs and thus gives the loss 
                         of nutrients and soil microorganisms that brings in its sterility, 
                         this process is called desertification. Moreover, the erosion, 
                         along with the absence of vegetation provides the silting of 
                         rivers. The present study made use of a satellite image of the 
                         rainy season and techniques of digital processing of images to 
                         classify the level of degradation of land under study. Thus were 
                         made visits to area under study both in the rainy season as the 
                         drought, where they visited seven points which were classified. 
                         Later held a reclassification of the images using the software 
                         SPRING 4.3.3 and with the observations acquired in the field there 
                         was the letter image through the SCARTA 4.3.3. Using the 
                         geotechnology you can optimize results and concluded that there 
                         was a change in the levels of degradation of land from very low to 
                         severe, with seven points from five assessed as severe which shows 
                         a high degree of commitment of these lands.",
  conference-location = "Natal",
      conference-year = "25-30 abr. 2009",
                 isbn = "978-85-17-00044-7",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "dpi.inpe.br/sbsr@80/2008/11.18.00.20.49",
                  url = "http://urlib.net/ibi/dpi.inpe.br/sbsr@80/2008/11.18.00.20.49",
           targetfile = "2169-2175.pdf",
                 type = "CBERS: Avalia{\c{c}}{\~a}o e Aplica{\c{c}}{\~o}es",
        urlaccessdate = "17 maio 2025"
}