@InProceedings{CardosoSampObreNobr:2010:FiMaBr,
               author = "Cardoso, Manoel and Sampaio, Gilvan and Obregon, Guilhermo and 
                         Nobre, Carlos",
          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 = "Fire-probability maps for the Brazilian Amazonia",
            booktitle = "Abstracts...",
                 year = "2010",
         organization = "European Geosciences Union (EGU) General Assembly.",
                 note = "EGU2010-15352",
             abstract = "Most fires in Amazonia result from the combination between climate 
                         and land-use factors. They occur mainly in the dry season and are 
                         used as an inexpensive tool for land clearing and management. 
                         However, their unintended consequences are of important concern. 
                         Fire emissions are the most important sources of greenhouse gases 
                         and aerosols in the region, accidental fires are a major threat to 
                         protected areas, and frequent fires may lead to permanent 
                         conversion of forest areas into savannas. Fire-activity models 
                         have thus become important tools for environmental analyses in 
                         Amazonia. They are used, for example, in warning systems for 
                         monitoring the risk of burnings in protected areas, to improve the 
                         description of biogeochemical cycles and vegetation composition in 
                         ecosystem models, and to help estimate the long-term potential for 
                         savannas in biome models. Previous modeling studies for the whole 
                         region were produced in units of satellite fire pixels, which 
                         complicate their direct use for environmental applications. By 
                         reinterpreting similar remote-sensing input data using a 
                         statistical approach, we were able to calibrate models for the 
                         whole region in units of probability, or chance of fires to occur. 
                         The application of these models for years 2005 and 2006 provided 
                         maps of fire potential at 3-month and 0.25-deg resolution as a 
                         function of precipitation and distance from main roads. In both 
                         years, the performance of the resulting maps was better for the 
                         period July-September. During these months, most of 
                         satellite-based fire observations were located in areas with 
                         relatively high chance of fire, as determined by the modeled 
                         probability maps. In addition to reproduce reasonably well the 
                         areas presenting maximum fire activity as detected by remote 
                         sensing, the new results in units of probability are easier to 
                         apply than the results from previous fire-pixel models.",
  conference-location = "Vienna, Austria.",
      conference-year = "2010",
             language = "en",
           targetfile = "EGU2010-15352-1.pdf",
               volume = "12",
        urlaccessdate = "02 maio 2024"
}