Research Progress on Estimating Emissions from Biomass Burning Based on Satellite Observations

Abstract

Abstract:

Biomass burning is an important global emission source of aerosols and trace gases, and has significant impacts on air quality, climate change and human health. Accurate estimation of trace gas and aerosol emissions from biomass burning is fundamental and important to further research about global climate change, regional air quality assessment and forecasting. Within the last 20 years, satellite-based instrumentation has been used to directly investigate the biomass burning emissions and has greatly achieved development. The research progress on estimating emissions from biomass burning based on satellite observations were introduced from four aspects: 1) two methods of emissions estimation for biomass burning using satellite products of burned areas (BA) and fire radiation power (FRP); 2) the method and products for the key variables of BA, FRP and active fire used for estimating emissions; 3) emissions inventory of biomass burning based on above two methods; 4) further work about emissions estimation for biomass burning in the near future.

Key words: satellite remote sensing, biomass burning, emissions, research progress

CLC Number:

MAO Hui-Qin, ZHANG Yu-Huan, LI Qing, ZHANG Li-Juan. Research Progress on Estimating Emissions from Biomass Burning Based on Satellite Observations[J]. Journal of Atmospheric and Environmental Optics, 2016, 11(6): 402-411.

References

[1] Olivier J G J, van Aardenne J A, Dentener F J, et al. Recent trends in globalgreenhouse gas emissions: regional trends 1970–2000 and spatialdistribution of key sources in 2000 [J]. Environ. Sci., 2005, 2 (2/3): 81-99.
[2] Bond T C, Streets D G, Yarber K F, et al. A technology-based global inventory of black and organic carbon emissions from combustion [J]. J. Geophys. Res., 2004,109(D14): D14203.
[3] Andreae M O, Rosenfeld D. Aerosol-cloud-precipitation interactions. Part 1. The nature and sources of cloud-active aerosols [J]. Earth Sci. Rev., 2008, 89(1): 13-41.
[4] Pfister G G, Wiedinmyer C, Emmons L K. Impacts of thefall 2007 California wildfires on surface ozone: Integrating localobservations with global model simulations [J]. Geophys. Res. Lett., 2008, 35(19): L19814.
[5] Climate Change 2007-Impacts, Adaptation and Vulnerability: Working Group II Contribution to the Fourth Assessment Report of the IPCC [M]. ed. by Prrry M L. Cambridge: Cambridge University Press, 2007.
[6] van Leeuwen T T, van der Werf G R. Spatial and temporal variability in the ratio of trace gases emitted from biomass burning [J]. Atmos. Chem. Phys., 2011, 11(8): 3611-3629.
[7] Andreae M O, Merlet P. Emission of trace gases and aerosols from biomassburning [J]. Glob. Biogeochem. Cy., 2001, 15(4): 955-966.
[8] Akagi S K, Yokelson R J, Wiedinmyer C, et al. Emissionfactors for open and domestic biomass burning for use inatmospheric models [J]. Atmos. Chem. Phys. Discuss., 2010,10(11): 27523-27602.
[9] Giglio L, Randerson J T, van der Werf G R, et al. Assessing variability and long-term trends in burned area by mergingmultiple satellite fire products [J]. Biogeosciences, 2010, 7(3): 1171-1186.
[10] Stroppiana D, Pinnock S, Pereira J M C, et al. Radiometric analysis of SPOT-VEGETATION images for burnt area detection in Northern Australia [J]. Remote Sens. Environ., 2002, 82(1): 21-37.
[11] Giglio L, Descloitres J, Justice C O, Kaufman Y J. An enhanced contextualfire detection algorithm for MODIS [J]. Remote Sens. Environ., 2003, 87(2): 273–282.
[12] Roberts G, Wooster M J, Perry G L W, et al. Retrieval of biomass combustion rates and totals from fire radiative powerobservations: Application to southern Africa using geostationary SEVIRI imagery [J]. J. Geophys. Res.: Atmos., 2005, 110(D21): D21111.
[13] Wooster M J, Zhukov B, Oertel D. Fire radiative energy for quantitativestudy of biomass burning: Derivation from the BIRD experimental satellite andcomparison to MODIS fire products [J]. Remote Sens. Environ., 2003, 86(1): 83-107.
[14] Seiler W, Crutzen P J. Estimates of gross and net fluxes of carbon betweenthe biosphere and the atmosphere from biomass burning [J]. Climate Change, 1980, 2(3): 207-247.
[15] Kaufman Y J, Remer L A, Ottmar R D, et al. Relationship between remotely sensed fire intensity and rate of emission of smoke: SCAR-C experiment [A]. InGlobal Biomass Burning [M]. ed. by Levin J S. Cambridge: The MIT Press, 1991: 685-696.
[16] Wooster M J, Roberts G, Perry G L W, et al. Combustion rates and totals from fire radiative power observations: FRP derivation and calibration relationships between biomass consumption and fire radiative energy release [J]. J. Geophys. Res., 2005, 110(D24): D24311.
[17] Freeborn P H, Wooster M J, Hao W M, et al. Relationships between energy release, fuel mass loss, and tracegas and aerosol emissions during laboratory biomass fires [J]. J. Geophys. Res. 2008, 113(D1): D01301.
[18] Matson M, Holben B. Satellite detection of tropical burning in Brazil [J]. Int. J. Remote Sens., 1987, 8(3): 509-516.
[19] Giglio L, Kendall J D, Justice C O. Evaluation of global fire detection algorithms using simulated AVHRR infrared data [J]. Int. J. Remote Sens., 1999, 20(10): 1947-1985.
[20] Li Z, Nadon S, Cihlar J. Satellite-based detection of Canadian boreal forest fire: Development and application of the algorithm [J]. Int. J. Remote Sens., 2000, 21(16): 3057-3069.
[21] Lasaponara R, Cuomo V, Machiatto M F, et al. A self-adaptive algorithm based on AVHRR multitemporal data analysisfor small active fire detection [J]. Int. J. Remote Sens., 2003, 24(8): 1723-1749.
[22] Csiszar I, Schroeder W, Giglio L, et al. Active fires from the Suomi NPP Visible Infrared Imaging Radiometer Suite: Product status and first evaluation results [J]. J. Geophys. Res. Atmos., 2014, 119(2): 803-816.
[23] Schroeder W, Oliva P, Giglio L.1995 The New VIIRS 375 m active fire detection data product: Algorithm description and initial assessment [J]. Remote Sens. Environ., 2014, 143: 85-96.
[24] Li Qing, Zhang Lijuan, Wu Chuanqing, et al. Satellite-remote-sensing-based monitoring of straw burning and analysis of its impact on air quality [J]. Journal of Ecology and Rural Enviroment, 2009, 25(1): 32-37(in Chinese).
厉青, 张丽娟, 吴传庆, 等. 基于卫星遥感的秸秆焚烧监测及对空气质量影响分析 [J]. 生态与农村环境学报, 2009, 25(1): 32-37.
[25] Key C H. Ecological and sampling constraints on defining land scape fire severity [J]. Fire Ecol., 2006, 2(2): 34-59.
[26] Roy D P, Jin Y, Lewis P E, et al. Prototyping a global algorithm for systematic fire affected area mapping using MODIS time series data [J]. Remote Sens. Environ., 2005, 97(2): 137-162.
[27] Pu R, Li Z, Gong P, et al. Development and analysis of a 12-year daily 1-km forest firedataset across North America from NOAA/AVHRR data [J]. Remote Sens. Environ., 2007, 108(2): 198-208.
[28] Tansey K, Grégoire J M. Defourny P, et al. A new, global, multi-annual (2000–2007)burnt area product at 1 km resolution [J]. Geophys. Res. Lett., 2008, 35(1): L01401.
[29] Roy D P, Lewis P E, Justice C O. Burned area mapping using multi-temporal moderate spatial resolution data—A bi-directional reflectance model-based expectation approach [J]. Remote Sens. Environ., 2002, 83(1/2): 263-286.
[30] Epting J, Verbyla D, Sorbel B. Evaluation of remotely sensed indices for assessing burn severity in interior Alaska using Landsat TMand ETM+ [J]. Remote Sens. Environ., 2005, 96(3): 328-339.
[31] Giglio L, van der Werf G R, Randerson J T, et al. Global estimation of burned area using MODIS activefire observations [J]. Atmos. Chem. Phys., 2006, 6(4): 957-974.
[32] Zhang X, Kondragunta, S. Temporal and spatial variability in biomass burned across the USA derived from the GOES fire product [J]. Remote Sens. Environ., 2008, 112(6): 2886-2897.
[33] Schroeder W, Prins E, Giglio L, et al. Validation of GOES and MODIS activefire detection products using ASTER and ETM+ data [J]. Remote Sens. Environ., 2008, 112(6): 2711-2726.
[34] Morisette J, Giglio L, Csiszar I, et al. Validation of the MODIS active fire product over Southern Africa with ASTER data [J]. Int. J. Remote Sens., 2005, 26(19): 4239-4264.
[35] Morisette J T, Giglio L, Csiszar I, et al. Validation of MODIS active fire detection products derived from two algorithms [J]. Earth Interactions, 2005, 9: 141-161.
[36] Csiszar I, Morisette J T, Giglio L. Validation of active fire detectionfrom moderate-resolution satellite sensors: The MODIS examplein Northern Eurasia [J]. IEEE Trans. Geosci. Remote Sens., 2006, 44(7): 1757-1764.
[37] Zhang X Y, Kondragunta S, Quayle B. Estimation of biomass burned areas using multiple-satellite-observed active fires [J]. IEEE Trans. Geosci. Remote Sens., 2011, 49(11): 4469-4482.
[38] Chuvieco E, Yue C, Heil A, et al. A new global burned area product for climate assessment of fire impacts [J]. Global Ecol. Biogeogr., 2016, 25(5): 619-629.
[39] Mouillot F, Schultz M G, Yue C, et al. Ten years of global burned area products from spaceborne remote sensing-a review : Analysis of user needs and recommendations for future developments [J]. Int. J. Appl. Earth Obs., 2014, 26: 64-79. [40] Kaufman Y J, Kleidman R G, King M D. SCAR-B fires inthe tropics: properties and remote sensing from EOS-MODIS [J]. J. Geophys. Res., 1998, 103(D24): 31955-31968.
[41] Ichoku C, Giglio L, Wooster M J, et al. Global characterizationof biomass-burning patterns using satellite measurements of fire radiative energy [J]. Remote. Sens. Environ., 2008, 112(6): 2950-2962.
[42] Dozier J. A method for satellite identification of surface temperature fields of subpixel resolution [J]. Remote Sens. Environ., 1981, 11: 221-229.
[43] Wooster M J, Zhukov B, Oertel D. Fire radiative energy for quantitative study of biomass burning: Derivation from the BIRD experimental satellite and comparison to MODIS fire products [J]. Remote Sens. Environ., 2003, 86(1): 83-107.
[44] Zhukov B, Lorenz E, Oertel D, et al. Spaceborne detection and characterization of fires during the bi-spectral infrared detection (BIRD) experimental small satellite mission 2001-2004 [J]. Remote Sens. Environ., 2006, 100(1): 29-51.
[45] Justice C O, Giglio L, Korontzi S, et al. The MODIS fire products [J]. Remote Sens. Environ., 2002, 83(1): 244-262.
[46] Roberts G J, Wooster M J. Fire detection and fire characterization over Africa using Meteosat SEVIRI [J]. IEEE Trans. Geosci.Remote Sens., 2008, 46(4): 1200-1218.
[47] Andela N, Kaiser J, van der Werf G, et al. New fire diurnal cycle characterizations to improve fire radiativeenergy assessments made from MODIS observations [J]. Atmos. Chem. Phys., 2015, 15(15): 8831-8846.
[48] Kaiser J W, Heil A, Andreae M O, et al. Biomass burning emissionsestimated with a global fire assimilation system basedon observed fire radiative power [J]. Biogeosciences, 2012, 9(1): 527-554.
[49] Freeborn P H, Wooster M J, Roberts G, et al. Development of a virtual active fire product for Africa through a synthesis of geostationary and polar orbiting satellite data [J]. Remote Sens. Environ., 2009,113(8): 1700-1711.
[50] Giglio L, Randerson J T, van der Werf G R. Analysis of daily, monthly, and annual burned area using the fourth-generation global fire emissions database (GFED4) [J]. J. Geophys. Res. Biogeosci., 2013, 118(1): 317-328.
[51] Wiedinmyer C, Akagi S K, Yokelson R J, et al. The Fire Inventory from NCAR (FINN): a high resolution global model to estimate the emissions from open burning [J]. Geosci. Model Dev., 2011, 4: 625-641.
[52] Hoelzemann J J, Schultz M G, Brasseur G P, et al. Global Wildland Fire Emission Model (GWEM): Evaluating the use of global area burnt satellite data [J]. J. Geophys. Res., 2014, 109(D14): D14S04.
[53] Jain A K, Tao Z, Yang X, et al. Estimates of global biomass burning emissions for reactive greenhouse gases (CO, NMHCs, and NOx) and CO2 [J]. J. Geophys. Res., 2006, 111(D6): D06304.
[54] Zhang X, Kondragunta S, Ram J, et al. Near-real-time global biomass burning emissions product from geostationary satellite constellation [J]. J. Geophys. Res., 2012, 117(D14): D14201.
[55] Yokelson R J, Burling I R, Urbanski S P, et al. Trace gas and particle emissions from openbiomass burning in Mexico [J]. Atmos. Chem. Phys., 2011, 11(14): 6787-6808.
[56] Ichoku C, Ellison L. Global top-down smoke-aerosol emissions estimation using satellite fire radiative power measurements [J]. Atmos. Chem. Phys., 2014, 14(13): 6643-6667.
[57] Reid J S, Hyer E J, Prins E M, et al. Global monitoring and forecastingof biomass-burning smoke: description and lessons from the Fire Locatingand Modeling of Burning Emissions (FLAMBE) program [J]. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens., 2009, 2(3): 144-162.
[58] Freeborn P H, Wooster M J, Roy D P, et al. Quantification of MODIS fire radiativepower (FRP) measurement uncertaintyfor use in satellite-based active firecharacterization and biomass burning estimation [J]. Geophys. Res. Lett., 2014, 41(6): 1988-1994.
[59] Cao Guoliang, Zhang Xiaoye, Wang Dan, et al. Inventory of atmospheric pollutants discharged from biomass burning in China continent [J]. China Environmental Science. 2005, 25(4): 389-393(in Chinese).
曹国良, 张小曳, 王丹, 等. 中国大陆生物质燃烧排放的污染物清单 [J]. 中国环境科学, 2005, (4): 389-393.
[60] Cao Guoliang, Zhang Xiaoye, Wang Dan, et al. Inventory of emissions of pollutants from open burning crop residue [J]. Journal of Agro-Environment Science, 2005, 24(4): 800-804(in Chinese).
曹国良, 张小曳, 王丹, 等. 秸秆露天焚烧排放的TSP等污染物清单 [J]. 农业环境科学学报, 2005, 24(4): 800-804.
[61] Lu Bing, Kong Shaofei, Han Bin, et al. Inventory of atmospheric pollutants discharged from biomass burning in China continent in 2007 [J]. China Environmental Science, 2011, 31(2):186-194(in Chinese).
陆炳, 孔少飞, 韩斌, 等. 2007年中国大陆地区生物质燃烧排放污染物清单 [J]. 中国环境科学, 2011, 31(2):186-194.
[62] Wang Shuxiao, Zhang Chuying. Spatial and temporal distribution of air pollutant emissions from open burning of crop residues in China [J]. Science Paper Online, 2008, 5: 329-333(in Chinese).
王书肖, 张楚莹. 中国秸秆露天焚烧大气污染物排放时空分布 [J]. 中国科技论文在线, 2008, 5: 329-333.
[63] Zhao Jianning, Zhang Guilong, Yang Dianlin. Estimation of carbon emission from burning of grain crop residues in China [J]. Journal of Agro-Environment Science, 2011, 30(4): 812-816(in Chinese).
赵建宁, 张贵龙, 杨殿林. 中国粮食作物秸秆焚烧释放碳量的估算 [J]. 农业环境科学学报, 2011, 30(4): 812-816.
[64] Li Feiyue, Wang Jianfei. Estimation of carbon emission from burning and carbon sequestration from biochar producing using crop straw in China [J]. Transactions of the Chinese Society of Agricultural Engineering, 2013, 29(14): 1-7(in Chinese). 李飞跃,汪建飞. 中国粮食作物秸秆焚烧排碳量及转化生物炭固碳量的估算 [J]. 农业工程学报,2013,29(14): 1-7.
[65] Liu M, Song Y, Yao H, et al. Estimating emissions from agricultural fires in the North China Plain based on MODIS fire radiative power [J]. Atmos. Environ., 2015, 112: 326-334.
[66] Li J, Li Y, Bo Y, et al. High-resolution historical emission inventories of crop residue burning in fields in China for the period 1990–2013 [J]. Atmos. Environ., 2016, 138: 152-161.