@Article{SilvaJrMorFraMorBar:2014:CoArSo,
               author = "Silva Junior, Carlos Antonio da and Moreira, Eder Paulo and Frank, 
                         Thiago and Moreira, Maur{\'{\i}}cio Alves and Barcellos, D.",
          affiliation = "{Universidade Estadual de Maring{\'a} (UEM)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)} and {University of Georgia}",
                title = "Comparison of areas of soybean (Glycine max (L) Merr.) obtained 
                         through the interpretation of tm/landsat and modis/terra images in 
                         the municipality of maracaju (MS) / Compara{\c{c}}{\~a}o de 
                         {\'a}reas de soja (Glycinemax (L) Merr.) obtidas por meio da 
                         interpreta{\c{c}}{\~a}o de imagens tm/landsat e modis/terra no 
                         munic{\'{\i}}pio de maracaju (MS)",
              journal = "Bioscience Journal",
                 year = "2014",
               volume = "30",
               number = "5",
                pages = "707--716",
             keywords = "{\'A}reas agr{\'{\i}}colas, CEI, {\'{\i}}ndices de 
                         vegeta{\c{c}}{\~a}o, principais componentes.",
             abstract = "The soybean has favorable characteristics for its identification 
                         and mapping through interpretation of remote sensing images. This 
                         paper aims compare the mapping results of this culture by 
                         interpretation of TM/Landsat-5 and MODIS/Terra images for the 
                         crop-year 2010/11. The study area was the town of Maracaju, Mato 
                         Grosso do Sul, Brazil, the larger producer of soybeans in the 
                         state. Eight MODIS/Terra images were acquired in 2010, four in 
                         2011 and one TM/Landsat-5 in 2011, comprising the period from 
                         soybean cultivation in the region. With thematic maps of soybean 
                         areas, of which follows: principal components of mono temporal TM 
                         image with their respective MODIS NDVI's and EVI's, through the 
                         Max Ver classifier; addition we calculated the CEI index, which in 
                         the process of slicing the pixel areas were obtained from 
                         soybeans. The classifications using TM/Landasat-5 bands showed 
                         excellent estimates of soybean areas, indicated by the metrics 
                         validation Kappa and overall accuracy. In the method CEI index 
                         presented inferiority before the other estimates are they only 
                         over area estimation obtained by the mono temporal NDVI/MODIS 
                         image.",
                 issn = "1516-3725 and 1981-3163",
                label = "scopus 2014-11 SilvaJrMorFraMorBar:2014:CoArSo",
             language = "pt",
        urlaccessdate = "27 abr. 2024"
}