DocumentCode :
9874
Title :
GOST2: The Improvement of the Canopy Reflectance Model GOST in Separating the Sunlit and Shaded Leaves
Author :
Weiliang Fan ; Jing Li ; Qinhuo Liu
Author_Institution :
State Key Lab. of Remote Sensing Sci., Inst. of Remote Sensing & Digital Earth, Beijing, China
Volume :
8
Issue :
4
fYear :
2015
fDate :
Apr-15
Firstpage :
1423
Lastpage :
1431
Abstract :
Accurately simulating the area ratios of the sunlit and shaded foliage in multiple-view angles presents a challenge in developing a geometric-optical (GO) model. GOST model by Fan et al.[1] proposed a high computationally demanding ray tracing method on this issue. In order to relax the computational restriction, a new hybrid canopy reflectance model GOST2 based on GOST is developed with a “ray tracing + GO” method, which is used for simulating the area ratios of the sunlit and shaded foliage. GOST2 shows the explicitly physical mechanism and has the capability in modeling the area ratios of the sunlit and shaded foliage on slopes. The area ratios of the four scene components of the five GO models, such as GOST2, GOST, the Li-Strahler model, the four-scale model, and Unified, are quantitatively evaluated. The canopy reflectances by the five GO models and the three-dimensional virtual canopy model are validated by the observed reflectance. It indicates that GOST2 is both reliable and computationally undemanding canopy reflectance model.
Keywords :
ray tracing; vegetation; vegetation mapping; 3D virtual canopy model; GOST2 model; Li-Strahler model; area ratios; computational restriction; four-scale model; geometric-optical model; hybrid canopy reflectance model GOST2; multiple-view angles; physical mechanism; ray tracing method; scene components; shaded foliage; shaded leaves; sunlit foliage; sunlit leaves; Computational modeling; Photonics; Ray tracing; Remote sensing; Shape; Solid modeling; Vegetation; Canopy reflectance; geometric-optical (GO) modeling; ray-tracing method; remote sensing;
fLanguage :
English
Journal_Title :
Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of
Publisher :
ieee
ISSN :
1939-1404
Type :
jour
DOI :
10.1109/JSTARS.2015.2413994
Filename :
7076580
Link To Document :
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