author = "Freire, Neison Cabral Ferreira and Pach{\^e}co, Admilson da Penha 
                         and Teixeira, Juliana Lyra",
          affiliation = "{Funda{\c{c}}{\~a}o Joaquim Nabuco} and {Universidade Federal de 
                         Pernambuco} and {Funda{\c{c}}{\~a}o Joaquim Nabuco}",
                title = "Aspectos metodol{\'o}gicos para o mapeamento e a an{\'a}lise 
                         espectro-temporal do processo de desertifica{\c{c}}{\~a}o",
            booktitle = "Anais...",
                 year = "2009",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                pages = "1361--1368",
         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 = "desertifica{\c{c}}{\~a}o,Sensoriamento Remoto, Caatinga, 
                         degrada{\c{c}}{\~a}o ambiental,Nordeste do Basil.",
             abstract = "This research aims to map and analyse the desertification process 
                         of part of the Brazilian semi-arid region called Xing{\'o}, using 
                         technologies of Remote Sensing and Geoinformation Systems. 
                         Historically, the Brazilian semi-arid region is inserted in a 
                         development model whose economical basis was not linked to the 
                         regions social, cultural and environmental contingents. The 
                         current challenge consists of conciliating an efficient and 
                         recyclable exploration of the limited natural resources of the 
                         North-eastern semi-arid region - the {"}natural capital{"} - and 
                         the urgent necessity for some material development in the rural 
                         communities - the {"}man-made capital{"}. Through the combination 
                         of the seasonal series of satelite images and current demographic 
                         data, a methodology was estabilished to detect areas, which are 
                         degraded or prone to desertification in the six areas surrounding 
                         the Xing{\'o} Hidroeletric power station, situated between the 
                         States of Alagoas and Sergipe. Field research validates the 
                         laboratory results, supported by extensive literature regarding 
                         the indicators of desertification and geoinformation technologies. 
                         After mapping, evaluating and analysing the deserted areas and 
                         manipulating the georeferenced data, using a variety of digital 
                         processing techniques and developing a Geographic Information 
                         System (GIS), the picture of growing human poverty as well as the 
                         environment degradation in the large study area analysed became 
                         evident. In the period between 1989 and 2003 there was also 
                         significant devastation of the natural vegetation called 
                         {"}Caatinga{"}, an increase in exposed soil and decrease in the 
                         farming and pasturing land.",
      accessionnumber = "0",
  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/",
                  url = "http://urlib.net/rep/dpi.inpe.br/sbsr@80/2008/",
           targetfile = "1361-1368.pdf",
                 type = "An{\'a}lise e Aplica{\c{c}}{\~a}o de Imagens Multitemporais",
        urlaccessdate = "15 jan. 2021"