@InProceedings{NogueiraRuffChuvMoui:2017:EvFiPa,
               author = "Nogueira, Joana Messias Pereira and Ruffault, Julien and Chuvieco, 
                         Emilio and Mouillot, Florent",
                title = "Global burned area products from remote sensing: an evaluation of 
                         fire patch metrics for regional applications in Brazil",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "3592--3599",
         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 = "Global burned area (BA) datasets from remote sensing provide 
                         fruitful information for carbon emissions and for Dynamic Global 
                         Vegetation Models (DGVM) benchmarking. Patch level analysis 
                         recently emerged as an additional informative feature of the fire 
                         regime. We evaluated a step further the ability of global BA 
                         products to accurately represent fire patch features, in the 
                         fire-prone Brazilian savannas. We used the pixel-level burned area 
                         from LANDSAT, MODIS MCD45A1 and the European Space Agency (ESA) 
                         fire Climate Change Initiative (FIRE_CCI) for the period 2002-2009 
                         to identify individual fire patches that we compared by linear 
                         regressions. Correlations between patch areas showed R2>0.6 for 
                         all comparisons, with a slope of 0.99 between FIRE_CCI and MCD45A1 
                         but a lower slope (0.6 - 0.8) when compared to the LANDSAT data. 
                         Shape complexity was less correlated (R2 = 0.5) between global 
                         products, and R2=0.2 between global products and the LANDSAT data, 
                         due to coarser resolution. For the morphological features of the 
                         ellipse fitted over fire patches, R2 reached 0.6 for the ellipses 
                         eccentricity and varied from 0.4 to 0.8 for its azimuthal 
                         directional angle. We conclude that global BA products 
                         underestimate BA due to missing small fires, but also 
                         underestimate patch areas. Patch complexity is the least 
                         correlated variable, but ellipse features appear to be reliable 
                         information to be further used for quality product assessment, 
                         global pyrogeography or DGVM benchmarking.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59285",
             language = "en",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSLT8F",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSLT8F",
           targetfile = "59285.pdf",
                 type = "Geoprocessamento e aplica{\c{c}}{\~o}es",
        urlaccessdate = "05 maio 2024"
}