@InProceedings{NogueiraMouBarChuRam:2017:AsBuAr,
               author = "Nogueira, Joana Messias Pereira and Mouillot, Florent and Barbosa, 
                         Jo{\~a}o Paulo Rodrigues Alves Delfino and Chuine, Isabelle and 
                         Rambal, Serge",
                title = "An assessment of burned area/drought relationship from global 
                         remote sensing in Brazilian biomes",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "3830--3837",
         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 = "Fires are complex processes having important impacts on ecosystem 
                         functioning with societal consequences, especially in Brazilian 
                         biomes. The fire activity is determined by complex feedbacks 
                         between climate and vegetation types, which respond differently to 
                         water deficit. Fire danger indices (FDI) based on daily 
                         meteorological information are used as proxies for fuel 
                         flammability. In this study, we evaluated the performances of the 
                         most used FDI at main Brazilian biomes (Amazonia Forest, Atlantic 
                         Forest, Cerrado, and Caatinga) using global remote sensing burned 
                         area (BA) products. We computed 12 FDI using meteorological 
                         CRU-NCEP dataset at 0.5° resolution from 2002 to 2011. The land 
                         cover was evaluated using a fuelbelds map and the monthly BA from 
                         the MCD45A1, ESA Fire Cci, GFED4 and GFED4s datasets. Each FDI/BA 
                         relationship was computed using R2 and evaluated with Principal 
                         Component Analysis (PCA).We applied a general linear model (GLM) 
                         for main PCA axes to predict fire occurrence per biome. All FDIs 
                         and BA showed good relation (Rē >0.8), except for SPEI (Rē < 0.2). 
                         FDIs with highest soil field capacities showed the best 
                         correlation for Cerrado and Caatinga and the FDIs for shallow soil 
                         to the Brazilian tropical forests. The GLM showed highest accuracy 
                         (>50%) to predict the fire occurrence in the Amazonia and Cerrado. 
                         These results suggest that FDIs are biome-specific to explain the 
                         seasonal course of burned in Brazilian biomes, and that global 
                         burned area products from remote sensing are consistent to each 
                         other. Selected FDIs should be used for fire danger forecast in 
                         each biome.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59852",
             language = "en",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSLTMN",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSLTMN",
           targetfile = "59852.pdf",
                 type = "Monitoramento de queimadas",
        urlaccessdate = "27 abr. 2024"
}