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