Geostationary satellite detection of bio mass burning in South America
- 1 October 1992
- journal article
- research article
- Published by Taylor & Francis in International Journal of Remote Sensing
- Vol. 13 (15) , 2783-2799
- https://doi.org/10.1080/01431169208904081
Abstract
This paper presents the results of using Geostationary Operational Environmental Satellite (GOES) Visible Infrared Spin Scan Radiometer Atmospheric Sounder (VAS) data to monitor biomass burning associated with deforestation and grassland management in South America. The technique of Matson and Dozier has been adapted to GOES VAS short-wave and long-wave infrared window data to determine ihe size and temperature of fires associated with these activities. Although VAS data do not offer the spatial resolution available with Advanced Very High Resolution Radiometer (AVHRR) data (7 km versus I km) this decreased resolution does not seem to hinder the ability of the VAS instrument to delect fires; in some cases it proves to be advantageous, in that saturation does not occur as often. Sequences of VAS visible data are helpful in verifying that the hot spots sensed in the infrared are actually related to fires. Furthermore, the smoke of the fires can be tracked in time to determine their motion and trajectory. In this way, the GOES satellite offers a unique ability to monitor diurnal variations in fire activity and transport of related aerosols.Keywords
This publication has 23 references indexed in Scilit:
- Monitoring the Fate of the Forests from SpaceScience, 1989
- Determining the rate of forest conversion in Mato Grosso, Brazil, using Landsat MSS and AVHRR dataInternational Journal of Remote Sensing, 1987
- Characterization and classification of South American land cover types using satellite dataInternational Journal of Remote Sensing, 1987
- Fire detection using data from the NOAA-N satellitesInternational Journal of Remote Sensing, 1987
- Satellite detection of tropical burning in BrazilInternational Journal of Remote Sensing, 1987
- Identifying deforestation in Brazil using multiresolution satellite dataInternational Journal of Remote Sensing, 1986
- Relationship between atmospheric CO2 variations and a satellite-derived vegetation indexNature, 1986
- Intensive forest clearing in Rondonia, Brazil, as detected by satellite remote sensingRemote Sensing of Environment, 1984
- Atmospheric soundings from a geostationary satelliteApplied Optics, 1983
- A method for satellite identification of surface temperature fields of subpixel resolutionRemote Sensing of Environment, 1981