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Overview Sections
Multi-spectral Fire Detection from a Geostationary Platform
Applications of the GOES VAS ABBA (1983-1991)
Improved Fire Monitoring Capabilities with GOES-8
Applications of the GOES-8 ABBA in South America (1995- )
Validation of the GOES-8 ABBA
Overview of the GOES Automated Smoke/Aerosol Detection Algorithm (ASADA)
GOES-8 Observations of Fires in the Great Plains in 1996
GOES-8 Monitors 15-minute Variations in the Long Island Fire of 1995
1-minute GOES-9 Super Rapid Scan Observations (SRSO) of Fires in the Western US in 1996
Monitoring Fires with GOES-8 at Northerly Latitudes (Canada, 1995)


Other Links

Cooperative Institute for Satellite Meteorological Studies
Space Science and Engineering Center
NOAA Operational Significant Event Imagery
NASA Goddard Global Fire Monitoring
Colorado State: RAMSDIS Online Brazil Fires Page
CPTEC Fire Monitoring
GFMC Daily Significant Global Fire Events
FLAMBE Fire Locating and Modeling of Burning Emissions
CPTEC: Monitoring the Transport of Biomass Burning Emissions
SSD Fire Program Hazard Mapping System
Overview of the GOES Biomass Burning Monitoring Program

Smoke
Smoke Pall and Fires Observed in GOES-8 Imagery


The international scientific community has stressed the need for long-term monitoring of biomass burning for global climate change research. Biomass burning is a distinct biogeochemical process and plays a major role in the global carbon cycle impacting both regional and global climate change. Biomass burning releases significant amounts of reactive trace gases and particulates into the atmosphere. Recent modeling and analysis efforts have suggested that the direct and indirect radiative effects of biomass burning aerosols play a significant role in the radiative balance of the earth and are an important factor in climate change calculations. The extent of burning and the impact of these activities on the global environment are not well understood. Remote sensing offers the most cost effective means for long-term monitoring of fires and associated aerosols.

At the Cooperative Institute for Meteorological Satellite Studies (CIMSS) the biomass burning monitoring team is using the Geostationary Operational Environmental Satellite (GOES) to detect and monitor fires and smoke associated with wildfires, prescribed burns, deforestation and other agricultural applications throughout the Western Hemisphere. An example of GOES-8 fire and smoke detection is presented in this composite which shows a large smoke pall (outlined in yellow) observed over South America on 27 August 1997. The inset, highlighted in blue, shows fires along the border between Brazil and Bolivia which appear as dark hot spots in the GOES-8 3.9 micron infrared imagery.


Multi-spectral Fire Detection from a Geostationary Platform
Applications of the GOES VAS ABBA (1983-1991)
Improved Fire Monitoring Capabilities with GOES-8
Applications of the GOES-8 ABBA in South America (1995- )
Validation of the GOES-8 ABBA
Overview of the GOES Automated Smoke/Aerosol Detection Algorithm (ASADA)

GOES-8/-9 Wildfire Detection in North America

Over the past several years the GOES-8/-9 platforms have been used to monitor wildfires throughout North America. We present a few examples here. Additional examples are available in the interesting examples of GOES fire montioring in the Western Hemisphere page.

GOES-8 Observations of Fires in the Great Plains in 1996
GOES-8 Monitors 15-minute Variations in the Long Island Fire of 1995
1-minute GOES-9 Super Rapid Scan Observations (SRSO) of Fires in the Western US in 1996
Monitoring Fires with GOES-8 at Northerly Latitudes (Canada, 1995)



The biomass burning products displayed on this web site were developed and produced with funding from the National Aeronautics and Space Administration (NASA: NAGW-3804, NAG5-4751) and the National Oceanic and Atmospheric Administration (NOAA: NA67EC0100).

NOTICE: To maintain the integrity of the data, use of this data for publications, posters, or talks requires an offer of authorship to the UW-Madison CIMSS GOES Biomass Burning Monitoring Program. Please send authorship requests to Elaine.Prins@ssec.wisc.edu.

Contact:
elaine.prins@ssec.wisc.edu
joleen.feltz@ssec.wisc.edu
chris.schmidt@ssec.wisc.edu



2001 June 11