DocumentCode
576607
Title
The relationship between vegetation clumping index angular distribution and canopy spatial pattern
Author
Cao, Biao ; Liu, Qinhuo ; Du, Yongming ; Li, Hua ; Li, Li
Author_Institution
State Key Lab. of Remote Sensing Sci., Beijing Normal Univ., Beijing, China
fYear
2012
fDate
22-27 July 2012
Firstpage
5085
Lastpage
5088
Abstract
Vegetation clumping index is required for canopy reflectance modeling and leaf area index (LAI) retrieval. Frequently used is the average clumping index. The angle effect is normalized in the definition of average clumping index. Clumping index angular distribution with different canopy spatial pattern and the same architectural features of single plant is modeled and analyzed in this paper. The real structure of single plant and the canopy spatial pattern are simulated by modified L-systems. The gap fraction is calculated by Radiosity-Graphics combined Model (RGM) and the clumping index is calculated through a formula which is derived from Nilson´s classic formula to solving gap fraction. It can be seen from the comparison of gap fraction of six scenes that the maximum is appeared in the direction of zenith and the shape between forward and backward is roughly symmetrical. It can be seen from the comparison of clumping index of six scenes that the maximum is not always appeared in the direction of zenith and the shape between forward and backward is not always roughly symmetrical. The results indicate that the asymmetry of canopy spatial pattern will bring the asymmetry of the clumping index angular distribution and the clumping index angular distribution depends on both the architectural features of single plant and the canopy spatial pattern.
Keywords
vegetation; LAI retrieval; Nilson classic formula; Radiosity-Graphics combined Model; average clumping index; canopy reflectance modeling; canopy spatial pattern; clumping index angular distribution; gap fraction; leaf area index; modified L-systems; vegetation clumping index angular distribution; Azimuth; Indexes; Reflectivity; Remote sensing; Shape; Solid modeling; Vegetation mapping; LAI; RGM; canopy spatial pattern; clumping index; gap fraction;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location
Munich
ISSN
2153-6996
Print_ISBN
978-1-4673-1160-1
Electronic_ISBN
2153-6996
Type
conf
DOI
10.1109/IGARSS.2012.6352467
Filename
6352467
Link To Document