DocumentCode :
897516
Title :
Calculation of the angular radiance distribution for a coupled atmosphere and canopy
Author :
Liang, Shunlin ; Strahler, Alan H.
Author_Institution :
Dept. of Geogr., Boston Univ., MA, USA
Volume :
31
Issue :
2
fYear :
1993
fDate :
3/1/1993 12:00:00 AM
Firstpage :
491
Lastpage :
502
Abstract :
The radiative transfer equations for a coupled atmosphere and canopy are solved numerically be an improved Gauss-Seidel iteration algorithm. The radiation field is decomposed into three components: unscattered sunlight, single scattering, and multiple scattering radiance for which the corresponding equations and boundary conditions are set up and their analytical or iterational solutions are explicitly derived. This algorithm enables one to obtain the internal radiation field as well as radiances at boundaries. Any form of bidirectional reflectance distribution function (BRDF) as a boundary conditon can be easily incorporated into the iteration procedure. The upwelling radiances have been evaluated for different atmospheric conditions, leaf area index (LAI), leaf angle distribution (LAD), leaf size and so on. The formulation presented is also well suited for analyzing the relative magnitude of multiple scattering radiance and single scattering radiance in both the visible and near-infrared regions
Keywords :
atmospheric radiation; radiative transfer; remote sensing; angular radiance distribution; bidirectional reflectance distribution function; boundaries; coupled atmosphere and canopy; improved Gauss-Seidel iteration algorithm; internal radiation field; iterational solutions; leaf angle distribution; leaf area index; leaf size; multiple scattering; radiation field; radiative transfer equations; remote sensing; single scattering; unscattered sunlight; upwelling radiances; Atmosphere; Atmospheric modeling; Bidirectional control; Boundary conditions; Electromagnetic coupling; Equations; Optical scattering; Reflectivity; Remote sensing; Sensor arrays;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/36.214925
Filename :
214925
Link To Document :
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