@InProceedings{TrentinTrenKram:2017:AnDiEs,
               author = "Trentin, Aline Biasoli and Trentin, Carline Biasoli and Kramer, 
                         Gisieli",
                title = "An{\'a}lise da din{\^a}mica espacial do uso da terra a partir de 
                         imagens da s{\'e}rie Landsat nos munic{\'{\i}}pios da 
                         Microrregi{\~a}o Campanha Central/RS",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "3004--3011",
         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 = "The continuous monitoring of land use in the Pampa biome, through 
                         Geoprocessing tools, has great importance in respect of use and 
                         management of natural vegetation. This article aims to analyse the 
                         dynamics of land use and cover in the municipalities of Campanha 
                         Central Microregion/RS, in the years 2010 and 2015, using remote 
                         sensing image Landsat series. The methodology consisted in the 
                         acquisition of Landsat 5 TM satellite images for 2010 and Landsat 
                         8 OLI for 2015. The georeferencing of the Landsat 5 TM scenes 
                         using as a basis the Landsat image 8 OLI, then the mosaic of 
                         scenes for the two dates. For the classification of the images was 
                         considered the maximum likelihood algorithm, based on samples of 
                         training according to the main land uses of in the Microregion 
                         (field/pasture, forested area, temporary crops, soil exposed and 
                         water). The results showed excellent performance of the 
                         classifier, greater than 99%, for the two dates. The class 
                         field/pasture stood out in the study area, in two years. However, 
                         overall there was a decrease in these areas, as a result of the 
                         increase of temporary crops and forest areas, possibly linked to 
                         intensification of agricultural and forestry activities. These 
                         results allowed concluding that the use of remote sensing images 
                         in a spatio temporal perspective, can contribute with continuous 
                         information and analysis on the characteristics of the region 
                         under study.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59761",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSLRLH",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSLRLH",
           targetfile = "59761.pdf",
                 type = "Detec{\c{c}}{\~a}o de mudan{\c{c}}as",
        urlaccessdate = "27 abr. 2024"
}