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Discrimination of Biomass Burning Smoke and Clouds in MAIAC Algorithm
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External Online Source: doi:10.5194/acpd-12-18651-2012
Author and Affiliation:
Lyapustin, A.(NASA Goddard Space Flight Center, Greenbelt, MD, United States);
Korkin, S.(Universities Space Research Association, Columbia, MD, United States);
Wang, Y.(Maryland Univ. Baltimore County, Baltimore, MD, United States);
Quayle, B.(Forest Service, Salt Lake City, UT, United States);
Laszlo, I.(National Oceanic and Atmospheric Administration, NESDIS, Camp Springs, MD, United States)
Abstract: The multi-angle implementation of atmospheric correction (MAIAC) algorithm makes aerosol retrievals from MODIS data at 1 km resolution providing information about the fine scale aerosol variability. This information is required in different applications such as urban air quality analysis, aerosol source identification etc. The quality of high resolution aerosol data is directly linked to the quality of cloud mask, in particular detection of small (sub-pixel) and low clouds. This work continues research in this direction, describing a technique to detect small clouds and introducing the smoke test to discriminate the biomass burning smoke from the clouds. The smoke test relies on a relative increase of aerosol absorption at MODIS wavelength 0.412 micrometers as compared to 0.47-0.67 micrometers due to multiple scattering and enhanced absorption by organic carbon released during combustion. This general principle has been successfully used in the OMI detection of absorbing aerosols based on UV measurements. This paper provides the algorithm detail and illustrates its performance on two examples of wildfires in US Pacific North-West and in Georgia/Florida of 2007.
Publication Date: Jul 31, 2012
Document ID:
20120015724
(Acquired Nov 16, 2012)
Subject Category: EARTH RESOURCES AND REMOTE SENSING
Report/Patent Number: GSFC.JA.7185.2012
Document Type: Journal Article
Publication Information: Atmospheric Chemistry and Physics Discussions; Volume 12; 18651?18670
Financial Sponsor: NASA Goddard Space Flight Center; Greenbelt, MD, United States
Organization Source: NASA Goddard Space Flight Center; Greenbelt, MD, United States
Description: 20p; In English; Original contains color illustrations
Distribution Limits: Unclassified; Publicly available; Unlimited
Rights: Copyright; Distribution as joint owner in the copyright
NASA Terms: ALGORITHMS; BIOMASS BURNING; SMOKE; CLOUDS (METEOROLOGY); ATMOSPHERIC CORRECTION; MODIS (RADIOMETRY); AEROSOLS; REMOTE SENSING; IMAGE CLASSIFICATION; IMAGE ANALYSIS; FOREST FIRE DETECTION; SATELLITE OBSERVATION; BIDIRECTIONAL REFLECTANCE; TIME SERIES ANALYSIS; CARBON; HIGH RESOLUTION; AIR QUALITY; OPTICAL THICKNESS; SPECTRAL REFLECTANCE
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