Special Section on Remote Sensing Applications to Wildland Fire Research in the Eastern United States: Selected Papers from the 2007 EastFIRE Conference - Part 2

Assessing satellite-based fire data for use in the National Emissions Inventory

[+] Author Affiliations
Amber J. Soja

NASA Langley Research Center, National Institute of Aerospace, 21 Langley Boulevard, MS420, Hampton, VA 23681

Jassim Al-Saadi

NASA Langley Research Center, 21 Langley Boulevard, MS 401B, Hampton, VA 23681

Louis Giglio

Science Systems and Application, Inc., 10210 Greenbelt Rd., Suite 600, Lanham, MD 20706

Dave Randall

Air Sciences Inc., 1301 Washington Ave, Ste 200, Golden, CO 80401

Chieko Kittaka

Science Systems and Applications, Inc., NASA Langley Research Center, Hampton, VA 23681-2199

George Pouliot

EPA Office of Research and Development, 109 T.W. Alexander Drive, Room E-2311, Research Triangle Park, NC 27711

Joseph J. Kordzi

USEPA Region 6, 1445 Ross Ave., Dallas, TX 75202

Sean Raffuse

Sonoma Technology, Inc., 1455 N. McDowell Blvd., Petaluma, CA 94954

Thompson G. Pace

EPA Office of Air Quality Planning and Standards, Environmental Sciences Division, 109 T.W. Alexander Dr. M/S: E243-05, Research Triangle Park, NC 27711

Thomas E. Pierce

EPA Office of Research and Development, 109 T.W. Alexander Drive, Room E-2311, Research Triangle Park, NC 27711

Tom Moore

Colorado State University, WRAP Tech. Coordinator, 106 CIRA Bldg., Fort Collins, CO 80523

Biswadev Roy

USEPA Region 6, 1445 Ross Ave., Research Triangle Park, NC 27711

R. Bradley Pierce

National Environmental Satellite, Data, and Information Service, NOAA/NESDIS, 1225 W Dayton Street, room 203, Madison, WI 53706-1612

James J. Szykman

Environmenal Protection Agency, NASA Langley Research Center, 21 Langley Boulevard, MS 401B, Research Triangle Park, NC 23681

J. Appl. Remote Sens. 3(1), 031504 (May 14, 2009). doi:10.1117/1.3148859
History: Received November 25, 2007; Revised May 12, 2009; Accepted May 13, 2009; May 14, 2009; Online May 14, 2009
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Abstract

Biomass burning is significant to emission estimates because: (1) it is a major contributor of particulate matter and other pollutants; (2) it is one of the most poorly documented of all sources; (3) it can adversely affect human health; and (4) it has been identified as a significant contributor to climate change through feedbacks with the radiation budget. Additionally, biomass burning can be a significant contributor to a regions inability to achieve the National Ambient Air Quality Standards for PM 2.5 and ozone, particularly on the top 20% worst air quality days. The United States does not have a standard methodology to track fire occurrence or area burned, which are essential components to estimating fire emissions. Satellite imagery is available almost instantaneously and has great potential to enhance emission estimates and their timeliness. This investigation compares satellite-derived fire data to ground-based data to assign statistical error and helps provide confidence in these data. The largest fires are identified by all satellites and their spatial domain is accurately sensed. MODIS provides enhanced spatial and temporal information, and GOES ABBA data are able to capture more small agricultural fires. A methodology is presented that combines these satellite data in Near-Real-Time to produce a product that captures 81 to 92% of the total area burned by wildfire, prescribed, agricultural and rangeland burning. Each satellite possesses distinct temporal and spatial capabilities that permit the detection of unique fires that could be omitted if using data from only one satellite.

© 2009 Society of Photo-Optical Instrumentation Engineers

Topics

Satellites

Citation

Amber J. Soja ; Jassim Al-Saadi ; Louis Giglio ; Dave Randall ; Chieko Kittaka, et al.
"Assessing satellite-based fire data for use in the National Emissions Inventory", J. Appl. Remote Sens. 3(1), 031504 (May 14, 2009). ; http://dx.doi.org/10.1117/1.3148859


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