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@InProceedings{MartinsNoguSetzMore:2020:CoDiVe,
               author = "Martins, Guilherme and Nogueira, Joana Messias Pereira and Setzer, 
                         Alberto Waingort and Morelli, Fabiano",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)}",
                title = "Comparison between Different Versions of INPE'S Fire Risk Model 
                         for the Brazilian Biomes",
            booktitle = "Proceedings...",
                 year = "2020",
                pages = "380--385",
         organization = "IEEE Latin American GRSS; ISPRS Remote Sensing Conference",
            publisher = "IEEE",
             keywords = "fire regime, brazilian biomes, INPE, meteorological data, 
                         MapBiomas, IGBP.",
             abstract = "Fires are intrinsic disturbances in ecosystems functioning and 
                         structure in fire-prone biomes. In recent decades there has been 
                         an increase in the number of fire events in Brazilian biomes, 
                         especially due to misuse of fire in the land use and 
                         deforestation. The spatial and temporal pattern fire risk is a 
                         important way to understanding the seasonality and intensity of 
                         fire in different climate and fuel conditions. However, consistent 
                         long-term assessment at biome level is only possible with the 
                         support of remote sensing and modeling information. Thus, the 
                         objective of this work was to evaluate the fire risk patterns for 
                         the Brazilian biomes in the last years (2015-2018), using the new 
                         version of INPE's fire risk (FR, v2). Regarding the temporal and 
                         spatial FR patterns by this new version from FR model, we 
                         evaluated that elevation and latitude correction factors, as well 
                         as the meteorological and land cover datasets with finer spatial 
                         scales can be contributed to adjust better the fire season 
                         vulnerability, notably in the less prone-biomes, such as Mata 
                         Atlantica, Pampa and Pantanal. However, there is still a need for 
                         adjustment to match the spatial active fire distribution, 
                         considering a biomass (fuel) map and the vegetation water status 
                         indicators. These improvements help to inform with more accuracy 
                         the most fire prone areas to define the strategies and decisions 
                         for fire combat and management.",
  conference-location = "Santiago, Chile",
      conference-year = "21-26 Mar.",
                  doi = "10.1109/LAGIRS48042.2020.9165637",
                  url = "http://dx.doi.org/10.1109/LAGIRS48042.2020.9165637",
                 isbn = "978-172814350-7",
             language = "en",
           targetfile = "martins_comparison.pdf",
        urlaccessdate = "25 jan. 2021"
}


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