DocumentCode :
2469111
Title :
Modeling recollision and escape probabilities using the stochastic radiative transfer equation
Author :
Xu, Liang ; Schull, Mitchell A. ; Myneni, Ranga B. ; Knyazikhin, Yuri
Author_Institution :
Dept. of Geogr., Boston Univ., Boston, MA, USA
fYear :
2010
fDate :
14-16 June 2010
Firstpage :
1
Lastpage :
4
Abstract :
The spectral invariants of vegetation canopy convey a lot of information on the canopy structure at hierarchical levels. Recent findings of the wavelength independent and scale independent variable - the ratio between the directional escape and the total escape probability - show that it does dependent on the selection of reference leaf albedo in getting correct reflectance values and can be treated as the identifier of macro scale canopy structure (foliage density, aspect ratio, ground cover, tree shape). In order to better utilize this variable in the retrieval algorithm for 3D canopy structure. Model simulation based on the stochastic radiative transfer equation is used to test the sensitivity of this variable to the structural parameters. Hyperspectral and multi-angle data are simulated and analyzed.
Keywords :
albedo; probability; radiative transfer; stochastic processes; vegetation; vegetation mapping; 3D canopy structure; aspect ratio; directional escape probability; foliage density; ground cover; macro scale canopy structure; recollision probability; reference leaf albedo; stochastic radiative transfer equation; total escape probability; tree shape; vegetation canopy; Hyperspectral imaging; Mathematical model; Shape; Stochastic processes; Structural engineering; Spectral invariants; canopy structure; macro scale; stochastic;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2010 2nd Workshop on
Conference_Location :
Reykjavik
Print_ISBN :
978-1-4244-8906-0
Electronic_ISBN :
978-1-4244-8907-7
Type :
conf
DOI :
10.1109/WHISPERS.2010.5594885
Filename :
5594885
Link To Document :
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