Lessons to be learned from the comparison of three satellite‐derived biomass burning products
- 3 November 2004
- journal article
- Published by American Geophysical Union (AGU) in Geophysical Research Letters
- Vol. 31 (21)
- https://doi.org/10.1029/2004gl021229
Abstract
Thematic maps of active fires or burned areas derived from low resolution remotely sensed data are widely used as an input for the estimation of the atmospheric emissions due to biomass burning. The present work considers three of the global products available for year 2000: two burned area datasets (GBA2000 and GlobScar) and one active fires dataset (World Fire Atlas) and analyses the relative agreements and disagreements in terms of areal extents and geographic location of the fire activity. The intercomparison of the three datasets shows that, while there is generally a good spatial agreement, the disagreement in terms of areal estimates is major. Without a quantitative validation and calibration using high resolution data, the uncertainty of the areal estimates significantly increases the variance of the estimation of atmospheric emissions.This publication has 16 references indexed in Scilit:
- Modeling and sensitivity analysis of fire emissions in southern Africa during SAFARI 2000Remote Sensing of Environment, 2004
- Burnt area detection at global scale using ATSR‐2: The GLOBSCAR products and their qualificationJournal of Geophysical Research: Atmospheres, 2004
- Improving global estimates of atmospheric emissions from biomass burningJournal of Geophysical Research: Atmospheres, 2004
- Vegetation burning in the year 2000: Global burned area estimates from SPOT VEGETATION dataJournal of Geophysical Research: Atmospheres, 2004
- Global estimates of biomass burning emissions based on satellite imagery for the year 2000Journal of Geophysical Research: Atmospheres, 2004
- Global Wildland Fire Emission Model (GWEM): Evaluating the use of global area burnt satellite dataJournal of Geophysical Research: Atmospheres, 2004
- Continental-Scale Partitioning of Fire Emissions During the 1997 to 2001 El Niño/La Niña PeriodScience, 2004
- Improving the seasonal cycle and interannual variations of biomass burning aerosol sourcesAtmospheric Chemistry and Physics, 2003
- On the use of ATSR fire count data to estimate the seasonal and interannual variability of vegetation fire emissionsAtmospheric Chemistry and Physics, 2002
- Determination of Deforestation Rates of the World's Humid Tropical ForestsScience, 2002