7th Workshop on Forest Fire Management - EARSeL, European ...

Advancing the use of multi-resolution remote sensing data to detect and characterize biomass burning 189
Fire masks derived from those two instruments were used along with airborne
data and field measurements to either directly or indirectly evaluate
the MODIS and GOES imager fire characterization data on a pixel basis
(Schroeder et al., submitted).
3 - Results
Estimates of clear sky omission errors were generated for WF-ABBA and the
TA product based on active fire pixel summary statistics derived from 30m
ASTER and Landsat ETM+ data. Fire unrelated commission errors were estimated
to be ~2% for the two products above. Commission associated with
recently burned pixels varied as a function of percentage tree cover, being
larger (~15-35%) for densely forested areas.
WF-ABBA omission errors due to cloud obscuration in Amazonia were equivalent
to 11%. Reduced cloud coverage during periods of peak fire activity
(i.e., early afternoon hours during the dry season months) minimized the
omission errors. Assessment of the technique indicated a 5% agreement
between predicted x observed omission error values based on monthly statistics.
Figure 2 - Annual (2005) fire pixel density maps for the original TA/Terra (A), TA/Aqua(B), and
WF-ABBA (C), and the integrated product (D) for Brazilian Amazonia. The scales represent the
average number of days with detections calculated for individual 40km cells.