DocumentCode
107571
Title
Automated Stereo Retrieval of Smoke Plume Injection Heights and Retrieval of Smoke Plume Masks From AATSR and Their Assessment With CALIPSO and MISR
Author
Fisher, Daniel ; Muller, Jan-Peter ; Yershov, Vladimir N.
Author_Institution
Univ. Coll. London, Dorking, UK
Volume
52
Issue
2
fYear
2014
fDate
Feb. 2014
Firstpage
1249
Lastpage
1258
Abstract
The longevity and dispersion of smoke and associated chemical constituents released from wildfire events are dependent on several factors, crucially including the height at which the smoke is injected into the atmosphere. The aim here is to provide improved emission data for the initialization of chemical transport models in order to better predict aerosol and trace gas dispersion following injection into the free atmosphere. A new stereo-matching algorithm, named M6, which can effectively resolve smoke plume injection heights (SPIH), is presented here. M6 is extensively validated against two alternative spaceborne earth observation SPIH data sources and demonstrates good agreement. Further, due to the spectral and dual-view configuration of the Advanced Along-Track Scanning Radiometer imaging system, it is possible to automatically differentiate smoke from other atmospheric features effectively-a feat, which currently no other algorithm can achieve. Additionally, as the M6 algorithm shares a heritage with the other M-series matchers, it is here compared against one of its predecessors, M4, which, for the determination of SPIH, M6 is shown to substantially outperform.
Keywords
geophysical techniques; smoke; wildfires; AATSR; Advanced Along-Track Scanning Radiometer imaging system; CALIPSO; MISR; SPIH data sources; automated stereo retrieval; chemical transport models; smoke dispersion; smoke plume injection heights; smoke plume mask retrieval; space-borne earth observation; trace gas dispersion; wildfire events; Advanced Along-Track Scanning Radiometer (AATSR); injection height; smoke plume; stereo;
fLanguage
English
Journal_Title
Geoscience and Remote Sensing, IEEE Transactions on
Publisher
ieee
ISSN
0196-2892
Type
jour
DOI
10.1109/TGRS.2013.2249073
Filename
6487400
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