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

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.

[1]  E. Prins,et al.  Geostationary satellite detection of bio mass burning in South America , 1992 .

[2]  Edward V. Browell,et al.  Regional Air Quality Modeling System (RAQMS) predictions of the tropospheric ozone budget over east Asia , 2003 .

[3]  C. Justice,et al.  Agricultural burning in the Southeastern United States detected by MODIS , 2005 .

[4]  J. Randerson,et al.  Continental-Scale Partitioning of Fire Emissions During the 1997 to 2001 El Niño/La Niña Period , 2003, Science.

[5]  Arthur P. Cracknell,et al.  Straw burning over Great Britain detected by AVHRR , 1985 .

[6]  Erin K. Gilliland,et al.  Development and Sensitivity Analysis of Wildland Fire Emission Inventories for 2002-2006 , 2008 .

[7]  C. O. Justicea,et al.  The MODIS fire products , 2002 .

[8]  Thomas G. Pace,et al.  Development of a biomass burning emissions inventory by combining satellite and ground-based information , 2008 .

[9]  C. Justice,et al.  Fire and smoke observed from the Earth Observing System MODIS instrument--products, validation, and operational use , 2003 .

[10]  J. Randerson,et al.  Global Fire Emissions Database, Version 4.1 (GFEDv4) , 2006 .

[11]  R. Betts,et al.  Changes in Atmospheric Constituents and in Radiative Forcing. Chapter 2 , 2007 .

[12]  E. Prins,et al.  An overview of GOES‐8 diurnal fire and smoke results for SCAR‐B and 1995 fire season in South America , 1998 .

[13]  Christine Wiedinmyer,et al.  Intercomparison of near-real-time biomass burning emissions estimates constrained by satellite fire data , 2008 .

[14]  H. H. Shugart,et al.  AVHRR-derived fire frequency, distribution and area burned in Siberia , 2004 .

[15]  Bryan A. Baum,et al.  Wildland Fire Detection from Space: Theory and Application , 2000 .

[16]  William C. Malm,et al.  Spatial and monthly trends in speciated fine particle concentration in the United States , 2004 .

[17]  G. J. Collatz,et al.  Global Fire Emissions Database, Version 2.1 , 2007 .

[18]  J. Randerson,et al.  Carbon emissions from fires in tropical and subtropical ecosystems , 2003 .

[19]  J. Randerson,et al.  Global estimation of burned area using MODIS active fire observations , 2005 .

[20]  E. N. Valendik.  Temporal and Spatial Distribution of Forest Fires in Siberia , 1996 .

[21]  Jennifer Robinson,et al.  Fire from space : global fire evaluation using infrared remote sensing , 1991 .

[22]  Xiaoyang Zhang,et al.  Near real time monitoring of biomass burning particulate emissions (PM2.5) across contiguous United States using multiple satellite instruments , 2008 .

[23]  Brian J. Stocks,et al.  The extent and impact of forest fires in northern circumpolar countries , 1991 .

[24]  E. Kasischke,et al.  Estimating release of carbon from 1990 and 1991 forest fires in Alaska , 1995 .

[25]  Xiaoyang Zhang,et al.  Estimating emissions from fires in North America for air quality modeling , 2006 .

[26]  R. Martin,et al.  Chemical data assimilation estimates of continental U.S. ozone and nitrogen budgets during the Intercontinental Chemical Transport Experiment–North America , 2007 .

[27]  Yoram J. Kaufman,et al.  An Enhanced Contextual Fire Detection Algorithm for MODIS , 2003 .

[28]  C. Justice,et al.  Global distribution of agricultural fires in croplands from 3 years of Moderate Resolution Imaging Spectroradiometer (MODIS) data , 2006 .

[29]  W. R. Cofer,et al.  Estimating fire emissions and disparities in boreal Siberia (1998–2002) , 2004 .

[30]  E. Kasischke,et al.  Carbon Release from Fires in the North American Boreal Forest , 2000 .

[31]  J. Penner,et al.  Improving global estimates of atmospheric emissions from biomass burning , 2004 .

[32]  Yoram J. Kaufman,et al.  Remote sensing of biomass burning in the tropics , 1990 .

[33]  C. Justice,et al.  Evaluation of global fire detection algorithms using simulated AVHRR infrared data , 1999 .

[34]  T. Loboda,et al.  A HYBRID REMOTE SENSING APPROACH TO QUANTIFYING CROP RESIDUE BURNING IN THE UNITED STATES , 2008 .

[35]  Shobha Kondragunta,et al.  Temporal and spatial variability in biomass burned areas across the USA derived from the GOES fire product , 2008 .

[36]  Christopher C. Schmidt,et al.  Fire detection using GOES rapid scan imagery , 2004 .

[37]  J. Dozier,et al.  Identification of Subresolution High Temperature Sources Using a Thermal IR Sensor , 1981 .

[38]  Shobha Kondragunta,et al.  Estimating forest biomass in the USA using generalized allometric models and MODIS land products , 2006 .

[39]  Joel S. Levine,et al.  The Extent and Impact of Forest Fires in Northern Circumpolar Countries , 1991 .

[40]  P. Goovaerts,et al.  Uncertainty in estimating carbon emissions from boreal forest fires , 2004 .

[41]  Arthur P. Cracknell,et al.  Identification of gas flares in the North Sea using satellite data , 1984 .

[42]  Werner A. Kurz,et al.  A 70-YEAR RETROSPECTIVE ANALYSIS OF CARBON FLUXES IN THE CANADIAN FOREST SECTOR , 1999 .

[43]  A. Soja.  A methodology for estimating area burned using satellite-based data in Near-Real-Time in Oregon and Arizona , 2007 .

[44]  D. Roy,et al.  The collection 5 MODIS burned area product — Global evaluation by comparison with the MODIS active fire product , 2008 .

[45]  P. Crutzen,et al.  Estimates of gross and net fluxes of carbon between the biosphere and the atmosphere from biomass burning , 1980 .