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@InProceedings{SchroederCSSMPBLF:2010:LeLeLB,
               author = "Schroeder, W and Csiszar, I A and Setzer, Alberto Waingort and 
                         Schmidt, C and Morisette, J T and Prins, E and Brunner, J and 
                         Longo, Karla and Freitas, Saulo Ribeiro de",
          affiliation = "University of Maryland, College Park, MD, USA and NOAA, Camp 
                         Springs, MD, USA and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)} and University of Wisconsin, Madison, WI, USA and USGS, 
                         Fort Collins, CO, USA and University of Wisconsin, Madison, WI, 
                         USA and University of Wisconsin, Madison, WI, USA and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)}",
                title = "Synthesis of remote sensing active fire detection data for 
                         Amazonia: Lessons learned from LBA",
            booktitle = "Abstracts...",
                 year = "2010",
         organization = "The Meeting of the Americas.",
             keywords = "Carbon cycling, land cover change, remote sensing, South 
                         America.",
             abstract = "The demand for information on fire activity in Amazonia has 
                         significantly increased in the past two decades with the growing 
                         concern about the fate of the tropical forests. Satellite active 
                         fire detection products represent the primary data source of fire 
                         information for Amazonia, which includes near-real time data from 
                         polar orbiting instruments such as the Advanced Very High 
                         Resolution Radiometer (AVHRR) series and the Moderate Resolution 
                         Imaging Spectroradiometer (MODIS) aboard Terra and Aqua 
                         satellites, and from geostationary systems such as the 
                         Geostationary Operational Environmental Satellite (GOES) East 
                         imager series. Airborne remote sensing instruments also provide 
                         invaluable information over fewer opportunistic/selected fires. 
                         Biomass burning is a major factor influencing land use and land 
                         cover change in Amazonia, its carbon dynamics, sustainability and 
                         system functioning, including important effects on the 
                         hydrological cycle. Consequently, it became a hot topic within the 
                         Large-Scale Biosphere-Atmosphere Experiment in Amazonia (LBA). 
                         Here we report on the summary findings about the LBA-Eco Phase III 
                         synthesis project entitled Analysis of long-term fire dynamics and 
                         impacts in the Amazon using integrated multi-source fire 
                         observations (LC-35 group investigation). Using multi-source fire 
                         data derived from in situ data collection, airborne remote 
                         sensing, Landsat-class type imagery, and moderate-to-coarse 
                         spatial resolution data (AVHRR, MODIS, GOES), we provide a summary 
                         overview of fire activity in Amazonia over the past decade. We 
                         analyzed several million fire pixels detected from 1997-present, 
                         including detailed imaging of thousands of maintenance and 
                         conversion fires mapped by the Advanced Spaceborne Thermal 
                         Emission and Reflection Radiometer (ASTER) and Landsat Enhanced 
                         Thematic Mapper Plus (ETM+) instruments. Our results highlight the 
                         spatial and temporal trends in fire activity across Amazonia, 
                         including important data quality information (e.g., omission and 
                         commission errors affecting the near-real time MODIS and GOES 
                         active fire detection data). We describe the relationship between 
                         fire activity and vegetation characteristics, deforestation, 
                         precipitation, and cloud distribution in Amazonia, which combine 
                         to create contrasting regional fire regimes across the area.",
  conference-location = "Foz do Igua{\c{c}}u, BR",
      conference-year = "08-12 aug 2010",
             language = "en",
        urlaccessdate = "21 jan. 2021"
}


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