DocumentCode :
1195111
Title :
Multiple Scattering Within the FLAIR Model Incorporating the Photon Recollision Probability Approach
Author :
Omari, Khalid ; White, Peter H. ; Staenz, Karl
Author_Institution :
Dept. of Earth Sci., Univ. of Ottawa, Ottawa, ON, Canada
Volume :
47
Issue :
8
fYear :
2009
Firstpage :
2931
Lastpage :
2941
Abstract :
In this paper, a combined approach based on the adding method is incorporated into the four-scale linear model for anisotropic reflectance (FLAIR) to enhance the description of the spectrally dependent multiple-scattered radiation field of a forest canopy. The proposed scheme is based on the decomposition of the multiple-scattered radiation field into two parts. The first part deals with multiple scattering within the canopy, considering a competently black soil, and the second part deals with multiple scattering between the canopy and the background. Such advances to radiative transfer modeling are required to better exploit the potential of hyperspectral remote sensing for monitoring canopy biochemical indicators such as chlorophyll concentration and equivalent water content. The validation was performed using the multiangular data sets obtained by the airborne sensor POLarization and Directionality of the Earth´s Reflectances (POLDER) during the BOReal Ecosystem-Atmosphere Study (BOREAS) campaign of 1994. The results indicate that this approach is well suited to the FLAIR model. It is also demonstrated that the multiple-scattering problem can be parameterized by a limited number of architectural parameters and the leaf scattering coefficient.
Keywords :
atmospheric boundary layer; geophysical techniques; radiative transfer; remote sensing; soil; sunlight; vegetation; AD 1994; BOREAS campaign; BOReal Ecosystem-Atmosphere Study campaign; FLAIR model; POLarization and Directionality of the Earth´s Reflectances; airborne sensor POLDER; biochemical indicators; black soil; chlorophyll concentration; equivalent water content; forest canopy; four-scale linear model for anisotropic reflectance; hyperspectral remote sensing; leaf scattering coefficient; multiangular data sets; multiple-scattered radiation field; photon recollision probability approach; radiative transfer modeling; Electromagnetic scattering by random media; electromagnetic theory; optical scattering; remote sensing; vegetation;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/TGRS.2009.2014466
Filename :
4801737
Link To Document :
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