DocumentCode
2932645
Title
TRMM fire algorithm, product and applications
Author
Ji, Yimin ; Stocker, Erich
Author_Institution
Sch. of Computational. Sci., George Mason Univ., Fairfax, VA, USA
Volume
5
fYear
2003
fDate
2003
Firstpage
3154
Abstract
The TRMM Science Data and Information System (TSDIS) fire algorithm is a contextual approach that uses the TRMM Visible Infrared Scanner (VIRS) thermal channel brightness temperature, visible/near-infrared channel reflectance, and global land type data to retrieve fire pixels. The products include global images of daily hot spots and monthly fire counts at 0.5°×0.5° resolution, as well as text files that details necessary information of all fire pixels. In order to understand the variability of global land fires and their effects on the distribution of atmospheric aerosols, statistical methods were applied to the TSDIS fire products as well as the Total Ozone Mapping Spectrometer (TOMS) aerosol index products for a period of four years from January 1998 to December 2001. The statistical results showed contrast between North and South hemispheres and also inter-continental transitions in Africa and America. These analyses also identified 25-60 day intra-seasonal oscillations that were superimposed on the annual cycles of both fire and aerosol data. The intra-seasonal variability of fires showed similarity of Madden-Julian oscillation mode. The VIRS fire data were also compared with coincident TRMM rainfall data to investigate the interaction between fire and cloud.
Keywords
aerosols; atmospheric techniques; clouds; fires; rain; remote sensing; statistical analysis; 25 to 60 day; AD 1998 01 to 2001 12; Africa; America; Madden-Julian oscillation mode; North hemispheres; South hemispheres; TRMM Science Data and Information System; TRMM Visible Infrared Scanner; TRMM fire algorithm; TRMM rainfall data; Total Ozone Mapping Spectrometry; atmospheric aerosols distribution; cloud; fire; global images; global land type data; hot spots; inter-continental transitions; intra seasonal variability; near-infrared channel reflectance; statistical methods; thermal channel brightness temperature; visible channel reflectance; Aerosols; Brightness temperature; Fires; Image resolution; Information retrieval; Information systems; Pixel; Reflectivity; Spectroscopy; Statistical analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 2003. IGARSS '03. Proceedings. 2003 IEEE International
Print_ISBN
0-7803-7929-2
Type
conf
DOI
10.1109/IGARSS.2003.1294713
Filename
1294713
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