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@InProceedings{CostaFonsKort:2014:MaGrFo,
               author = "Costa, Wanderson Santos and Fonseca, Leila Maria Garcia and 
                         Korting, Thales Sehn",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)}",
                title = "Mapping Grasslands Formations and Cultivated Pastures in the 
                         Brazilian Cerrado Using Data Mining",
            booktitle = "Proceedings...",
                 year = "2014",
                pages = "138--151",
         organization = "GEOProcessing 2014: International Conference on Advanced 
                         Geographic Information Systems, Applications, and Services, 6.",
            publisher = "IARIA XPS Press",
             keywords = "image processing, data mining, cerrado.",
             abstract = "Cerrado is the second largest biome in Brazil. Among the land 
                         changes in the Cerrado, over 500,000 kmē of the biome have been 
                         transformed into cultivated pastures in recent years. 
                         Distinguishing the native formations and identifying types of land 
                         use and cover in the Cerrado are important tasks for monitoring 
                         and protection policy of the biome. Within this context, this work 
                         aims at developing a methodology based on remote sensing 
                         techniques, to map pasture and native grassland areas in the 
                         Brazilian Cerrado. Data related to land use and cover, relief, 
                         spectral information from Landsat images and vegetation indices 
                         were used to perform the image classification. Decision trees and 
                         Support Vector Machines algorithms were used, and the results 
                         showed that the analysis and integration of different data sources 
                         can aid in the classification process. In order to discriminate 
                         areas of cultivated pastures and grassland formations, we obtained 
                         accuracies up to 82% in the study area, being able to identify 
                         attributes and data required to recognize these areas in the 
                         Brazilian Cerrado by remote sensing images.",
  conference-location = "Barcelona",
      conference-year = "2014",
                 isbn = "978-1-61208-3",
                label = "lattes: 3700081997386296 1 CostaFonsKort:2014:MaGrFo",
             language = "en",
           targetfile = "geoprocessing_2014_6_20_30117.pdf",
                  url = "http://www.thinkmind.org/index.php?view=article\&articleid=geoprocessing_2014_6_20_30117",
               volume = "1",
        urlaccessdate = "29 mar. 2024"
}


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