@InProceedings{SousaCoelCunh:2017:ClDiIm,
               author = "Sousa, Silvio Braz de and Coelho, Robson Vieira and Cunha, Felipe 
                         Silva",
                title = "Classifica{\c{c}}{\~a}o digital de imagens aplicada {\`a} 
                         produ{\c{c}}{\~a}o de mapas de cobertura e uso da terra do 
                         estado de Goi{\'a}s, ano base 2015",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "2439--2445",
         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 = ". Digital image-processing techniques are a recurrent theme in 
                         studies on the use of remote sensing data for the landscape 
                         ecology monitoring and assessment. From the 1970''s, USA Landsat 
                         serie images (Land Remote Sensing Satellite) became the main data 
                         source on land cover and land use, with 44 years of data being 
                         used by researchers around the world for environmental modeling. 
                         This paper aims to present results related to application of 
                         digital classification techniques for large geographic areas, 
                         developed with few computational and human resources. 
                         Specifically, a land cover and land use map was made for state of 
                         Goi{\'a}s in 2015 base year. For this research, OLI Landsat 
                         scenes from dry season (preferably August), supervised 
                         classification (SAM) and SRTM digital elevation data (to filter 
                         out shadows mistakenly classified as water) were used. The whole 
                         methodology relied on the use of free data and Geographic 
                         Information System (GIS), a fact that reduces costs for mapping 
                         land use and land cover. The results indicate that the mapping 
                         developed is in accordance with official mappings (Probio, 2002 
                         and TerraClass Cerrado 2013), as well as confirms the advanced 
                         stage of environment degradation of the native vegetation, which, 
                         in turn, according to the model, occupies approximately 30% of the 
                         territory of Goi{\'a}s.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59855",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSLQJB",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSLQJB",
           targetfile = "59855.pdf",
                 type = "Monitoramento e modelagem ambiental",
        urlaccessdate = "27 abr. 2024"
}