@InProceedings{OliveiraCostCostMari:2017:AnEsFr,
               author = "Oliveira, Phaulla and Costa, Jorge Alberto Lopes and Costa, 
                         Solange dos Santos and Marinho, Rog{\'e}rio Ribeiro",
                title = "An{\'a}lise Espacial de Fragmentos Florestais na {\'A}rea Urbana 
                         de Manaus a partir de Imagens do Sensor ADS-80",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "344--351",
         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 = "This article aims to apply ADS-80 sensor data with high spatial 
                         resolution of 40 cm for mapping forest fragments in three 
                         administrative areas of urban area in the city Manaus. Images were 
                         acquired on 28 and 29 October 2012, the direction of flight was 
                         from east to west, with side covering standard 20% range, each 
                         band with the size of 40 km long and 4.59 km wide, with pixel size 
                         of 40cm. In total, it was used five images, collected in the form 
                         of segments in rgb with spectral data from the area of the visible 
                         and near infrared. The results were obtained by supervised 
                         classification; the algorithm used for this was the classifier 
                         Support Vector Machine (SVM) with definition of three thematic 
                         classes (Forest, not Forest and Shade). For evaluating the 
                         performance of the classification algorithm, the results were 
                         analyzed based on the error matrix (or confusion matrix), giving a 
                         good results on the discrimination of targets with a total 
                         classification accuracy of 97.67%. Spatial analysis and individual 
                         metrics were held in hectares (ha), the largest fragment detected, 
                         corresponding to 611.05 ha located in the south of the urban area 
                         of Manaus. The result is presented in a map scale of 1: 70.000 
                         with representation of the fragments in 3 (three) administrative 
                         areas mapped.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59400",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PS43R6",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PS43R6",
           targetfile = "59400.pdf",
                 type = "Processamento de imagens",
        urlaccessdate = "27 abr. 2024"
}