@InProceedings{ScafuttoSouz:2011:ReCaEx,
               author = "Scafutto, Rebecca Del Papa Moreira and Souza Filho, Carlos Roberto 
                         de",
          affiliation = "{Universidade Estadual de Campinas - UNICAMP} and {Universidade 
                         Estadual de Campinas - UNICAMP}",
                title = "Espectroscopia de Reflect{\^a}ncia (VNIR-SWIR) Aplicada {\`a} 
                         Detec{\c{c}}{\~a}o e Identifica{\c{c}}{\~a}o de 
                         Hidrocarbonetos em Substratos Contaminados: Uma Refer{\^e}ncia 
                         para a Caracteriza{\c{c}}{\~a}o de Exsuda{\c{c}}{\~o}es e 
                         Vazamentos in situ a partir de Imagens de Sensoriamento Remoto 
                         Multiespectrais e Hiperespectrais",
            booktitle = "Anais...",
                 year = "2011",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares",
                pages = "8660--8667",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 15. (SBSR).",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "Reflectance spectroscopy, infrared, hydrocarbon, minerals, soils, 
                         contamination, espectroscopia de reflectancia, infravermelho, 
                         hidrocarboneto, minerais, solos, contamina{\c{c}}{\~a}o.",
             abstract = "The spectral reflectance properties of mixtures of substrates with 
                         various compositions and grain sizes contaminated with ethanol, 
                         diesel, gasoline and crude oils (šAPIs 43.2, 19.2 and 27.5) were 
                         analyzed in the range of near infrared (NIR) and short wave 
                         infrared (SWIR) wavelengths, using a FieldSpec-3 Hi-Res 
                         spectroradiometer. Unique absorption features and characteristics 
                         in conjunction with variations in spectral signatures, generated 
                         by the difference between the compositional contaminants, allowed 
                         the identification of spectral patterns in the spectral responses. 
                         These features can be used to differentiate the contaminants and 
                         also for their qualitative and quantitative determination in 
                         contaminated substrates. The intensities of the absorption 
                         features can be correlated with the abundances of the contaminants 
                         in mixtures and the unique position of the absorption features can 
                         be used for the individual characterization of the contaminants. 
                         The grain size of the contaminated substrate directly influences 
                         the variation of spectral signatures, since this is significantly 
                         greater and more rapid in the mixtures of contaminants with finer 
                         grained substrates. The results of this study have relevant 
                         applications in the identification of soils contaminated with fuel 
                         and oil and showed the great possibility to diagnostic the 
                         composition of the contaminant as well as the concentration of 
                         that in the soil in using ground, multispectral and hyperspectral 
                         remote sensing surveys.",
  conference-location = "Curitiba",
      conference-year = "30 abr. - 5 maio 2011",
                 isbn = "{978-85-17-00056-0 (Internet)} and {978-85-17-00057-7 (DVD)}",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "3ERPFQRTRW/3A3Q33E",
                  url = "http://urlib.net/ibi/3ERPFQRTRW/3A3Q33E",
           targetfile = "p1223.pdf",
                 type = "Sensoriamento Remoto Hiperespectral e Radiometria",
        urlaccessdate = "09 maio 2024"
}