%0 Conference Proceedings
%4 sid.inpe.br/mtc-m21d/2024/04.19.11.23
%2 sid.inpe.br/mtc-m21d/2024/04.19.11.23.18
%T Analysis of Long-term Fire Dynamics and Impacts in the Amazon Using Integrated Multi-source Fire Observations
%D 2008
%A Schroeder, Wilfrid,
%A Csiszar, Ivan,
%A Freitas, Karla Maria Longo de,
%A Freitas, Saulo Ribeiro de,
%A Schmidt, Christopher,
%A Setzer, Alberto Waingort,
%A Morisette, Jeffrey,
%A Prins, Elaine,
%A Brunner, Jason,
%@affiliation University of Maryland
%@affiliation NOAA/NESDIS Center for Satellite Applications and Research
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Cooperative Institute for Meteorological Satellite Studies
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation USGS Fort Collins Science Center
%@affiliation
%@affiliation Cooperative Institute for Meteorological Satellite Studies
%@electronicmailaddress wilfrid.schroeder@noaa.gov
%B Amazônia em Perspectiva: Ciência Integrada para um Futuro Sustentável Conferência Internacional LBA
%C Manaus
%8 2008
%S Proceedings
%X Biomass burning is a major factor contributing to land use and land cover change globally and in particular in South America and the Amazon region. Space-borne sensors provide valuable information on active fire detection; however, their application for quantitative studies of fire activity has been limited due to variations within and among existing systems. In this study, which is part of the LBA-Eco Phase III experiment, we developed methods to allow multi-year analyses of fire dynamics and impacts with a focus in Amazonia. The proposed research aimed to create a standardized fire data record for Amazonia derived from multiple satellite sensors and to apply the resulting data set for the quantification of fire impacts in the region. Here we present some of the results from this project including: (i) the analyses of biomass burning in Amazonia using multi-sensor data (ASTER, ETM+, MODIS, GOES), (ii) the development of an improved active fire detection product to run on geostationary imagery providing additional information to help the interpretation of the fire data, (iii) the production of a longer term active fire time series for Amazonia as a result of the reprocessing of 10+ years of 30-min GOES imager 4km data using the refined fire detection product algorithm, and (iv) the production of baseline biomass burning emission estimates for South America using the new fire data record.
%@language en
%3 2009_Wilfrid_etal_nasa_te_meeting_lajolla.pdf