@InProceedings{TeixeiraSantPere:2017:AdÍnQu,
               author = "Teixeira, Fabr{\'{\i}}cio Rodrigues and Santos, Renata Libonati 
                         dos and Peres, Leonardo de Faria",
                title = "Adapta{\c{c}}{\~a}o dos {\'{\I}}ndices de queimada (V, W) 
                         utilizando informa{\c{c}}{\~o}es do SWIR no sensor TM/Landsat",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "6437--6444",
         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 = "An effort has been made by the scientific community to develop 
                         thematic products of burnt areas. In such context, LANDSAT series 
                         is able to provide continuous, long term data sets, which may 
                         contribute in a unique way to build a long time series of burnt 
                         area estimates. In this work we intend to adapt the (V,W) burned 
                         index to the TM/Landsat5 characteristics in order to derive burnt 
                         area maps over Brazilian Cerrado. The (V,W) burned index was 
                         firstly designed for MODIS sensor characteristics of channels 2 
                         (near infrared, 0.8 \μm) and 20 (middle-infrared daytime, 
                         3.9 \μm). The authors, however, have emphasized that 
                         although tested with the MODIS sensor, the proposed transformation 
                         may be straightforwardly adapted to other sensors and to other 
                         combination of bands, such as the Landsat, working in the 
                         shortwave-infrared and near infrared bands. The short - wave 
                         infrared (SWIR2, 2.1 \μm) domain, such as the middle 
                         infrared (MIR), has adequate characteristics for the monitoring of 
                         the earth ''s surface after fire episodes, taking into account 
                         that the spectral response to fire scars in the SWIR domain is 
                         similar to that observed in the MIR region. In addition, SWIR2 
                         region is largely unaffected by the presence of aerosols. The 
                         adaptation approach takes uses of reflectance data from spectral 
                         libraries and TM/Landsat imageries. Results shows that the 
                         NIR/SWIR2 adapted (V, W) burn-sensitive vegetation index is 
                         appropriate for burned area discrimination in TM Landsat, opening 
                         interesting perspectives to the generation of long-term databases 
                         of burned areas using OLI/Landsat sensor.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59351",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSMCT4",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSMCT4",
           targetfile = "59351.pdf",
                 type = "Monitoramento e modelagem ambiental",
        urlaccessdate = "27 abr. 2024"
}