@InProceedings{SchroederCFFSSMPB:2008:AnLoFi,
author = "Schroeder, Wilfrid and Csiszar, Ivan and Freitas, Karla Maria
Longo de and Freitas, Saulo Ribeiro de and Schmidt, Christopher
and Setzer, Alberto Waingort and Morisette, Jeffrey and Prins,
Elaine and Brunner, Jason",
affiliation = "{University of Maryland} and {NOAA/NESDIS Center for Satellite
Applications and Research} and {Instituto Nacional de Pesquisas
Espaciais (INPE)} and {Instituto Nacional de Pesquisas Espaciais
(INPE)} and {Cooperative Institute for Meteorological Satellite
Studies} and {Instituto Nacional de Pesquisas Espaciais (INPE)}
and {USGS Fort Collins Science Center} and {} and {Cooperative
Institute for Meteorological Satellite Studies}",
title = "Analysis of Long-term Fire Dynamics and Impacts in the Amazon
Using Integrated Multi-source Fire Observations",
booktitle = "Proceedings...",
year = "2008",
organization = "Amaz{\^o}nia em Perspectiva: Ci{\^e}ncia Integrada para um
Futuro Sustent{\'a}vel Confer{\^e}ncia Internacional LBA",
abstract = "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.",
conference-location = "Manaus",
conference-year = "2008",
language = "en",
targetfile = "2009_Wilfrid_etal_nasa_te_meeting_lajolla.pdf",
urlaccessdate = "2025, Jan. 21"
}