@InProceedings{ScafuttoSouz:2017:AvApTr,
               author = "Scafutto, Rebecca Del Papa Moreira and Souza Filho, Carlos 
                         Roberto",
                title = "Avalia{\c{c}}{\~a}o da aplica{\c{c}}{\~a}o da 
                         transforma{\c{c}}{\~a}o wavelet e an{\'a}lise de componentes 
                         independentes em imagens hiperespectrais no LWIR para a 
                         detec{\c{c}}{\~a}o de plumas de metano em regi{\~o}es 
                         continentais",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "7643--7650",
         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 = "Research focused on the detection of methane (CH4) emissions has 
                         been gaining attention. Methane is the main component of natural 
                         gas and emission rates related to the oil industry comprises a 
                         large percentage of the global budget. However, these are still 
                         poor explored sources and contributions for methane concentration 
                         in the atmosphere from this segment are not well defined. Remote 
                         sensing tools have the potential to assist in the detection of 
                         fugitive CH4 emissions, which escapes through leaks in the 
                         pipeline network or storage tanks in refineries. Large spatial 
                         cover combined with high spectral resolution of airborne 
                         hyperspectral imaging sensors supports the direct mapping of gas 
                         plumes. Here, we process images acquired with the thermal imaging 
                         sensor Hytes (NASA) from Kern River Oil Field (California EUA) 
                         with wavelets transformation and Independent Component Analysis 
                         (ICA) technique. Preliminary results demonstrate that these 
                         techniques can be used for the detection of CH4 sources. The 
                         methane plumes from storage tanks were identified and the spectral 
                         features of the gas (7.6 - 7.9 µm) highlighted. The methodology 
                         study here can be useful for the detection of methane sources 
                         related to the oil industry, assisting to reduce production losses 
                         and refine estimations of CH4 emission rates from this segment.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59376",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSMG6B",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSMG6B",
           targetfile = "59376.pdf",
                 type = "Sensoriamento remoto hiperespectral",
        urlaccessdate = "27 abr. 2024"
}