@InProceedings{BarrosSilvNaka:2017:QuVeUr,
               author = "Barros, Pedro Paulo da Silva and Silva, Jessica Medeiros da and 
                         Nakai, {\'E}rica Silva",
                title = "Quantifica{\c{c}}{\~a}o da vegeta{\c{c}}{\~a}o urbana por meio 
                         de dois sensores em Piracicaba",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "4643--4650",
         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 disorganized and unplanned growth of cities have suppressed 
                         vegetation areas. Quantifications of the urban green areas in the 
                         field are costly and difficult. The remote sensing assists a set 
                         of effective techniques to evaluate the green areas inside urban 
                         centers. The objective was to analyze the capacity of urban 
                         vegetation quantification by means of two sensors with different 
                         spatial resolutions. The study area was Piracicaba city, at 
                         S{\~a}o Paulo. In the present work, images of two sensors were 
                         used to check their sensitivity: Landsat-8/OLI and UltraCam 
                         XPrime. The Normalized Difference Vegetation Index (NDVI) was used 
                         to identify the vegetation in the study area. To evaluate the 
                         performance of the sensors, the area of the classes were 
                         calculated in vegetation and non-vegetation. The NDVI 
                         differentiated the areas with the presence and absence of 
                         vegetation for the calculation of the urban vegetation area in 
                         Piracicaba. The Landsat-8/OLI quantified the vegetation of 
                         approximately 9,931 ha and no vegetation of 5,741 ha, UltraCam 
                         XPrime quantified 4,679 ha of vegetation and 10,999 ha of 
                         non-vegetation. This difference was influenced directly by the 
                         spatial resolution of the sensors. Therefore, the ability of 
                         UltraCam XPrime to detect vegetation in the urban area was 
                         efficient when compared to Landsat-8/OLI performance. It can helps 
                         the governmental and non-governmental organizations to define the 
                         urban and environmental planning.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59901",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSM3F5",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSM3F5",
           targetfile = "59901.pdf",
                 type = "Radiometria e sensores",
        urlaccessdate = "27 abr. 2024"
}