Assessing variability and long-term trends in burned area by merging multiple satellite fire products

被引:451
作者
Giglio, L. [1 ,2 ]
Randerson, J. T. [3 ]
van der Werf, G. R. [4 ]
Kasibhatla, P. S. [5 ]
Collatz, G. J. [1 ]
Morton, D. C. [1 ]
DeFries, R. S. [6 ]
机构
[1] NASA, Goddard Space Flight Ctr, Greenbelt, MD 20771 USA
[2] Univ Maryland, Dept Geog, College Pk, MD 20742 USA
[3] Univ Calif Irvine, Dept Earth Syst Sci, Irvine, CA USA
[4] Vrije Univ Amsterdam, Fac Earth & Life Sci, Amsterdam, Netherlands
[5] Duke Univ, Nicholas Sch Environm & Earth Sci, Durham, NC USA
[6] Columbia Univ, Dept Ecol Evolut & Environm Biol, New York, NY USA
关键词
MODIS; EMISSIONS;
D O I
10.5194/bg-7-1171-2010
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Long term, high quality estimates of burned area are needed for improving both prognostic and diagnostic fire emissions models and for assessing feedbacks between fire and the climate system. We developed global, monthly burned area estimates aggregated to 0.5 degrees spatial resolution for the time period July 1996 through mid-2009 using four satellite data sets. From 2001-2009, our primary data source was 500-m burned area maps produced using Moderate Resolution Imaging Spectroradiometer (MODIS) surface reflectance imagery; more than 90% of the global area burned during this time period was mapped in this fashion. During times when the 500-m MODIS data were not available, we used a combination of local regression and regional regression trees developed over periods when burned area and Terra MODIS active fire data were available to indirectly estimate burned area. Cross-calibration with fire observations from the Tropical Rainfall Measuring Mission (TRMM) Visible and Infrared Scanner (VIRS) and the Along-Track Scanning Radiometer (ATSR) allowed the data set to be extended prior to the MODIS era. With our data set we estimated that the global annual area burned for the years 1997-2008 varied between 330 and 431 Mha, with the maximum occurring in 1998. We compared our data set to the recent GFED2, L3JRC, GLOBCARBON, and MODIS MCD45A1 global burned area products and found substantial differences in many regions. Lastly, we assessed the interannual variability and long-term trends in global burned area over the past 13 years. This burned area time series serves as the basis for the third version of the Global Fire Emissions Database (GFED3) estimates of trace gas and aerosol emissions.
引用
收藏
页码:1171 / 1186
页数:16
相关论文
共 26 条
[1]  
[Anonymous], 1984, OLSHEN STONE CLASSIF, DOI 10.2307/2530946
[2]  
ARINO O, 1999, P JOINT FIR SCI C BO, V1, P177
[3]   Comparison of L3JRC and MODIS global burned area products from 2000 to 2007 [J].
Chang, Di ;
Song, Yu .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2009, 114
[4]   Global land cover mapping from MODIS: algorithms and early results [J].
Friedl, MA ;
McIver, DK ;
Hodges, JCF ;
Zhang, XY ;
Muchoney, D ;
Strahler, AH ;
Woodcock, CE ;
Gopal, S ;
Schneider, A ;
Cooper, A ;
Baccini, A ;
Gao, F ;
Schaaf, C .
REMOTE SENSING OF ENVIRONMENT, 2002, 83 (1-2) :287-302
[5]   The ENSO-fire dynamic in insular Southeast Asia [J].
Fuller, Douglas O. ;
Murphy, Kevin .
CLIMATIC CHANGE, 2006, 74 (04) :435-455
[6]   Global estimation of burned area using MODIS active fire observations [J].
Giglio, L ;
van der Werf, GR ;
Randerson, JT ;
Collatz, GJ ;
Kasibhatla, P .
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2006, 6 :957-974
[7]   A multi-year active fire dataset for the tropics derived from the TRMM VIRS [J].
Giglio, L ;
Kendall, JD ;
Mack, R .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2003, 24 (22) :4505-4525
[8]   An active-fire based burned area mapping algorithm for the MODIS sensor [J].
Giglio, Louis ;
Loboda, Tatiana ;
Roy, David P. ;
Quayle, Brad ;
Justice, Christopher O. .
REMOTE SENSING OF ENVIRONMENT, 2009, 113 (02) :408-420
[9]   Characterization of the tropical diurnal fire cycle using VIRS and MODIS observations [J].
Giglio, Louis .
REMOTE SENSING OF ENVIRONMENT, 2007, 108 (04) :407-421
[10]   Global distribution and seasonality of active fires as observed with the Terra and Aqua Moderate Resolution Imaging Spectroradiometer (MODIS) sensors [J].
Giglio, Louis ;
Csiszar, Ivan ;
Justice, Christopher O. .
JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES, 2006, 111 (G2)