Comparison of global inventories of CO emissions from biomass burning derived from remotely sensed data

被引:32
|
作者
Stroppiana, D. [1 ]
Brivio, P. A. [1 ]
Gregoire, J. -M. [2 ]
Liousse, C. [3 ]
Guillaume, B. [3 ]
Granier, C. [4 ,5 ,6 ]
Mieville, A. [4 ]
Chin, M. [5 ]
Petron, G. [6 ,7 ]
机构
[1] CNR IREA, Milan, Italy
[2] European Commiss, JRC, IES, Global Environm Monitoring Unit GEM, Ispra, VA, Italy
[3] Lab Aerol, UMR 5560, Toulouse, France
[4] CNRS, Serv Aeron, Paris, France
[5] NASA, Goddard Space Flight Ctr, Greenbelt, MD 20771 USA
[6] NOAA, Global Monitoring Div, Earth Syst Res Lab, Boulder, CO USA
[7] Univ Colorado, Cooperat Inst Res Environm Sci, Boulder, CO 80309 USA
关键词
VEGETATION FIRE; INTERANNUAL VARIABILITY; HIGH-RESOLUTION; SATELLITE DATA; BURNED AREA; AFRICA; FOREST; CARBON; MOPITT; GASES;
D O I
10.5194/acp-10-12173-2010
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
We compare five global inventories of monthly CO emissions named VGT, ATSR, MODIS, GFED3 and MOPITT based on remotely sensed active fires and/or burned area products for the year 2003. The objective is to highlight similarities and differences by focusing on the geographical and temporal distribution and on the emissions for three broad land cover classes (forest, savanna/grassland and agriculture). Globally, CO emissions for the year 2003 range between 365 Tg CO (GFED3) and 1422 Tg CO (VGT). Despite the large uncertainty in the total amounts, some common spatial patterns typical of biomass burning can be identified in the boreal forests of Siberia, in agricultural areas of Eastern Europe and Russia and in savanna ecosystems of South America, Africa and Australia. Regionally, the largest difference in terms of total amounts (CV > 100%) and seasonality is observed at the northernmost latitudes, especially in North America and Siberia where VGT appears to overestimate the area affected by fires. On the contrary, Africa shows the best agreement both in terms of total annual amounts (CV = 31%) and of seasonality despite some overestimation of emissions from forest and agriculture observed in the MODIS inventory. In Africa VGT provides the most reliable seasonality. Looking at the broad land cover types, the range of contribution to the global emissions of CO is 64-74%, 23-32% and 3-4% for forest, savanna/grassland and agriculture, respectively. These results suggest that there is still large uncertainty in global estimates of emissions and it increases if the comparison is carried by out taking into account the temporal (month) and spatial (0.5 degrees x 0.5 degrees cell) dimensions. Besides the area affected by fires, also vegetation characteristics and conditions at the time of burning should also be accurately parameterized since they can greatly influence the global estimates of CO emissions.
引用
收藏
页码:12173 / 12189
页数:17
相关论文
共 50 条
  • [21] Geographical characteristics of China’s wetlands derived from remotely sensed data
    NIU ZhenGuo1
    2 School of Geography
    Science China Earth Sciences, 2009, (06) : 723 - 738
  • [22] Geographical characteristics of China's wetlands derived from remotely sensed data
    Niu ZhenGuo
    Gong Peng
    Cheng Xiao
    Guo JianHong
    Wang Lin
    Huang HuaBing
    Shen ShaoQing
    Wu YunZhao
    Wang XiaoFeng
    Wang XianWei
    Ying Qing
    Liang Lu
    Zhang LiNa
    Wang Lei
    Yao Qian
    Yang ZhenZhong
    Guo ZiQi
    Dai YongJiu
    SCIENCE IN CHINA SERIES D-EARTH SCIENCES, 2009, 52 (06): : 723 - 738
  • [23] Emissions from biomass burning in the Yucatan
    Yokelson, R. J.
    Crounse, J. D.
    DeCarlo, P. F.
    Karl, T.
    Urbanski, S.
    Atlas, E.
    Campos, T.
    Shinozuka, Y.
    Kapustin, V.
    Clarke, A. D.
    Weinheimer, A.
    Knapp, D. J.
    Montzka, D. D.
    Holloway, J.
    Weibring, P.
    Flocke, F.
    Zheng, W.
    Toohey, D.
    Wennberg, P. O.
    Wiedinmyer, C.
    Mauldin, L.
    Fried, A.
    Richter, D.
    Walega, J.
    Jimenez, J. L.
    Adachi, K.
    Buseck, P. R.
    Hall, S. R.
    Shetter, R.
    ATMOSPHERIC CHEMISTRY AND PHYSICS, 2009, 9 (15) : 5785 - 5812
  • [24] Geographical characteristics of China’s wetlands derived from remotely sensed data
    NIU ZhenGuoGONG PengCHENG XiaoGUO JianHongWANG LinHUANG HuaBingSHEN ShaoQingWU YunZhaoWANG XiaoFengWANG XianWeiYING QingLIANG LuZHANG LiNaWANG LeiYAO QianYANG ZhenZhongGUO ZiQi DAI YongJiu State Key Laboratory of Remote Sensing ScienceJointly Sponsored by Institute of Remote Sensing ApplicationsChinese Academy of Sciencesand Beijing Normal UniversityBeijing China School of GeographyBeijing Normal UniversityBeijing China
    Science in China(Series D:Earth Sciences), 2009, 52 (06) : 723 - 738
  • [25] APPROXIMATE AND QUICK ESTIMATION OF CARBON EMISSIONS FROM A CITY USING REMOTELY SENSED DATA
    Deshpande, Shailesh S.
    Banolia, Chaman
    Balamuralidhar, P.
    2022 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2022), 2022, : 4635 - 4638
  • [27] New Inventories of Global Carbon Dioxide Emissions through Biomass Burning in 2001-2020
    Shiraishi, Tomohiro
    Hirata, Ryuichi
    Hirano, Takashi
    REMOTE SENSING, 2021, 13 (10)
  • [28] Biomass, harvestable area, and forest structure estimated from commercial timber inventories and remotely sensed imagery in southern Amazonia
    Feldpausch, Ted R.
    McDonald, Andrew J.
    Passos, Carlos A. M.
    Lehmann, Johannes
    Riha, Susan J.
    FOREST ECOLOGY AND MANAGEMENT, 2006, 233 (01) : 121 - 132
  • [29] Global carbon emissions from biomass burning in the 20th century
    Mouillot, F
    Narasimha, A
    Balkanski, Y
    Lamarque, JF
    Field, CB
    GEOPHYSICAL RESEARCH LETTERS, 2006, 33 (01)
  • [30] Quality assessment for geo-spatial objects derived from remotely sensed data
    Zhan, QM
    Molenaar, M
    Tempfli, K
    Shi, WZ
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2005, 26 (14) : 2953 - 2974