HR: 0800h
AN: A41C-0052 [Abstracts]
TI: Near Real-Time Emissions of Trace Gases and Aerosol Particles From Biomass Burning Based on MODIS
Direct Broadcast Data
AU: * Hao, W
EM: whao@fs.fed.us
AF: USDA Forest Service, RMRS Fire Sciences Laboratory, 5775 US Highway 10 W., Missoula, MT 59808
United States
AU: Salmon, J M
EM: jmsalmon@fs.fed.us
AF: USDA Forest Service, RMRS Fire Sciences Laboratory, 5775 US Highway 10 W., Missoula, MT 59808
United States
AU: Nordgren, B L
EM: bnordgren@fs.fed.us
AF: USDA Forest Service, RMRS Fire Sciences Laboratory, 5775 US Highway 10 W., Missoula, MT 59808
United States
AU: Urbanski, S P
EM: surbanski@fs.fed.us
AF: USDA Forest Service, RMRS Fire Sciences Laboratory, 5775 US Highway 10 W., Missoula, MT 59808
United States
AB:
Biomass burning is an important source of many atmospheric trace gases and aerosol particles. Quantitative characterization
of biomass burning emissions is critical for modeling atmospheric chemistry and assessing the impact of fires on air quality,
tropospheric ozone chemistry, and global climate. However, advancement in quantifying the emissions from fires spatially and
temporally has been limited. We have developed a method for quantifying near real-time smoke emissions in a 1-km x 1-km
resolution in North America based on MODIS data. The Fire Sciences Laboratory has been equipped with a satellite receiving
station to retrieve, process, and archive real-time MODIS data. Our MODIS images cover most of the continental U.S., Alaska,
Canada and northern Mexico. The MODIS algorithms of active fire detection have been validated by comparing the MODIS detected
fire locations with the ground survey data in the 2002 National Fire Occurrence Database. MODIS detected about half of the
fires smaller than 6 sq. km and detected about 80% of the fires larger than 6 sq. km, which account for 99% of the total
area burned in the continental U.S. The fire detection by MODIS is significantly more accurate than the NOAA AVHRR satellite,
especially in the grassland region. In addition to validating the MODIS fire detection algorithms, we have implemented a set
of algorithms using 1.24æm and 2.13 æm spectral bands to map burned areas in a resolution of 500m x 500m. The algorithms
were validated by comparing the MODIS derived burned areas with the fire perimeters mapped by the Forest Service's airborne
IR radiometers. Combining the real-time active fire locations and burned areas from MODIS with a static fuel map and a fuel
consumption model FOFEM, we quantified the CO and PM2.5 emissions every six hours from the I-90 Fire in Missoula, Montana
from August 4 to 23, 2005. We also examined the impact of the I-90 Fire on regional air quality.
DE: 1640 Remote sensing (1855)
SC: Atmospheric Sciences [A]
MN: Fall Meeting 2005