@InProceedings{MiuraMiurFormShim:2009:DeMuUs,
               author = "Miura, Adalberto Koiti and Miura, Gisele Mendes and Formaggio, 
                         Ant{\^o}nio Roberto and Shimabukuro, Yosio Edemir",
          affiliation = "{Embrapa Clima Temperado / RS} and {Anhanguera Educacional} and 
                         {Instituto Nacional de Pesquisas Espaciais - INPE / SP} and 
                         {Instituto Nacional de Pesquisas Espaciais - INPE / SP}",
                title = "Detec{\c{c}}{\~a}o de Mudan{\c{c}}as no Uso das Terras no 
                         Munic{\'{\i}}pio de Pelotas (RS, Brasil), no per{\'{\i}}odo de 
                         1985 a 2007, por meio de Processamento Digital de Imagens",
            booktitle = "Anais...",
                 year = "2009",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares",
                pages = "5997--6004",
         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 = "land cover, agriculture, urban growth, rural-urban migration, 
                         multitemporal assessment.",
             abstract = "The human activity is the main agent of change in different 
                         landscapes, such as what occurs in the natural and rural areas. 
                         These changes may have different speeds, being perceived in small 
                         lapses of time, as days and months, or may be given over several 
                         years or centuries. So, the land use/cover change is one of the 
                         most important indicator of environmental conservation conditions 
                         and its economic status for a region, which has great association 
                         with the socioeconomics facts and phenomena, it is reflecting, as 
                         well, the public policies for regional or national developing. The 
                         purpose of this study was testing some methods of change 
                         detection, in Pelotas Municipality (RS, Brazil), from 
                         multitemporal orbital data, evaluating some techniques of digital 
                         image processing, such as: vegetation index (NDVI, EVI), tasseled 
                         cap transformation, principal components analysis and linear 
                         spectral mixture model. The orbital data were extracted from three 
                         sets of Landsat 5 TM images (WRS 221/82), acquired in 1985, 1995 
                         and 2007, which they were coincided with the summertime, over the 
                         agricultural calendar of rice (the main agricultural activity of 
                         the municipality). The vegetation indexes were rather insensitive 
                         to detect changes among some classes of land use. Meanwhile, the 
                         best results were obtained using the linear spectral mixture 
                         model. It was also observed, during on the studied period, the 
                         urban growth and the decline in agricultural activity by family 
                         farming in the upper rural region, while the area occupied by rice 
                         plantations of agriculture business in the low lands, remained 
                         stable.",
  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@80/2008/11.17.21.36.34",
                  url = "http://urlib.net/ibi/dpi.inpe.br/sbsr@80/2008/11.17.21.36.34",
           targetfile = "5997-6004.pdf",
                 type = "Mudan{\c{c}}a de Uso e Cobertura da Terra",
        urlaccessdate = "08 maio 2024"
}