DocumentCode
1485026
Title
An analytical hybrid GORT model for bidirectional reflectance over discontinuous plant canopies
Author
Ni, Wenge ; Li, Xiaowen ; Woodcock, Curtis E. ; Caetano, Mário R. ; Strahler, Alan H.
Author_Institution
Dept. of Geogr., Boston Univ., MA, USA
Volume
37
Issue
2
fYear
1999
fDate
3/1/1999 12:00:00 AM
Firstpage
987
Lastpage
999
Abstract
The geometric optical (GO) bidirectional reflectance model, combined with a new component spectral signature submodel, can be used to estimate the bidirectional reflectance distribution function (BRDF) of discontinuous canopies. This approach retains the GO approach of incorporating the effect of shadows cast by crowns on the background. The newly developed submodel uses an analytical approximation of the radiative transfer (RT) within the plant canopies to model the spectral properties of each scene component. A multiple scale-hotspot function that incorporates effects for smaller canopy objects like branches, stems and leaves was also well modeled. Comparison of model results with field measurements (ASAS, POLDER and PARABOLA) over an old black spruce forest in central Canada demonstrated that the model ran predict the basic features of the BRDF, i.e., bowl shape and the hotspot. The benefits of the model presented are simplicity, improved treatment of multiple scattering and a new method of estimating the component signatures
Keywords
forestry; geophysical techniques; remote sensing; vegetation mapping; BRDF; Canada; IR; Picea mariana; analytical approximation; analytical hybrid GORT model; bidirectional reflectance distribution function; black spruce; discontinuous canopy; forest; forestry; geometric optical model; geophysical measurement technique; infrared; multiple scale-hotspot function; multiple scattering; optical imaging; plant canopy; radiative transfer; remote sensing; spectral signature submodel; vegetation mapping; visible; Analytical models; Bidirectional control; Distribution functions; Geometrical optics; Layout; Optical devices; Optical scattering; Predictive models; Shape measurement; Solid modeling;
fLanguage
English
Journal_Title
Geoscience and Remote Sensing, IEEE Transactions on
Publisher
ieee
ISSN
0196-2892
Type
jour
DOI
10.1109/36.752217
Filename
752217
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