Skip all navigation and jump to content Jump to site navigation
NASA Logo - Goddard Space Flight Center

+ NASA Homepage

    
Goddard Space Flight Center
About MODIS News Data Tools /images2 Science Team Science Team Science Team

   + Home
ABOUT MODIS
MODIS Publications Link
MODIS Presentations Link
MODIS Biographies Link
MODIS Science Team Meetings Link
 

 

 

Hyer, EJ, Reid, JS (2009). Baseline uncertainties in biomass burning emission models resulting from spatial error in satellite active fire location data. GEOPHYSICAL RESEARCH LETTERS, 36, L05802.

Abstract
Global and regional-scale estimates of biomass burning emissions rely on satellite data products with varying spatial resolution. In heterogeneous landscapes, moderate-resolution fire location data may not capture fine-scale variation in fuel type, leading to both random and systematic error in emissions. Using 120-meter land cover data for the Amazon basin, we estimate the probability of accurate classification of individual fires at 88% for MODIS and 74% for GOES. Classification error limits the ability of emission models to reproduce patterns of emissions, and can only be reduced by innovative use of current satellite data or ancillary data. Emissions biases caused by spatial error vary with regional distribution of fire types. For regional-scale studies in the Amazon Basin, we estimate emissions biases of +3% to +19% for MODIS and +6% to +39% for GOES. The difference between these two systems is an important consideration for multi-sensor fire applications. Citation: Hyer, E. J., and J. S. Reid (2009), Baseline uncertainties in biomass burning emission models resulting from spatial error in satellite active fire location data, Geophys. Res. Lett., 36, L05802, doi: 10.1029/2008GL036767.

DOI:
10.1029/2008GL036767

ISSN:
0094-8276

FirstGov logo Privacy Policy and Important Notices NASA logo

Curator: Brandon Maccherone
NASA Official: Shannell Frazier

NASA Home Page Goddard Space Flight Center Home Page