DocumentCode
2712756
Title
Estimating 3D canopy´s gap fraction using photographic method
Author
Wang, Jiangeng ; Feng, Xuezhi ; Xiao, Pengfeng
Author_Institution
Dept. of Geogr. Inf. Sci., Nanjing Univ., Nanjing, China
fYear
2011
fDate
24-26 June 2011
Firstpage
1
Lastpage
4
Abstract
Gap fraction, which is the probability that a light penetrates through the canopy unintercepted and reaches the surface under the canopy, is characteristic geometric parameter of canopy´s structure, and has great influence on radiative transfer of the vegetation. In this article, a photographic method was introduced to efficiently and accurately calculate the gap fraction of three-dimensional (3D) canopies. The 3D structures generated by the Clumped Architecture Model of Plants (CLAMP). The key parameters of CLAMP model include sowing scheme, clumping index, average leaf angle and leaf area index. By analyzing the sensitivity of these parameters to gap fraction, the changing features of gap fraction were found. The research of this article shows that photographic method is a powerful way to quantitatively study vegetation by remote sensing technology, and has potential of wider applications.
Keywords
geophysical image processing; photographic applications; radiative transfer; remote sensing; vegetation; 3D canopy; 3D structure; average leaf angle; clumped architecture model of plants; clumping index; gap fraction estimation; leaf area index; photographic method; radiative transfer; remote sensing technology; sowing scheme; vegetation; Anisotropic magnetoresistance; Clamps; Computational modeling; Indexes; Remote sensing; Solid modeling; Three dimensional displays; 3D canopy; CLAMP; gap fraction; photographic m ethod;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoinformatics, 2011 19th International Conference on
Conference_Location
Shanghai
ISSN
2161-024X
Print_ISBN
978-1-61284-849-5
Type
conf
DOI
10.1109/GeoInformatics.2011.5981081
Filename
5981081
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