DocumentCode :
1879255
Title :
Calculation of clumping index of mixed pixel and scale analysis
Author :
Ma, Qingmiao ; Li, Jing ; Liu, Qiang ; Liu, Qinhuo
Author_Institution :
State Key Lab. of Remote Sensing Sci., Inst. of Remote Sensing Appl., Beijing, China
fYear :
2011
fDate :
24-29 July 2011
Firstpage :
775
Lastpage :
778
Abstract :
Clumping index is an important vegetation structure parameter to describe the foliage clumping in canopy quantitatively. It is defined as the ratio of the effective leaf area index to the true leaf area index. In previous studies, it is generally considerate that cluster of canopy and below canopy scale in pure pixel. However, the in-pixel spatial heterogeneity need be taken into account estimating clumping index in mixed pixel, which is different from clumping index of pure pixel. A new method to calculate clumping index of mixed pixel based on fine spatial resolution image is proposed in this paper. The sensitivity analysis has been processed and its results show that the pixel spatial heterogeneity and view zenith angles cannot be ignored for calculating the mixed-pixel clumping index. The method is capable of correcting the scale difference caused by the heterogeneity of the vegetation cover inside the mixed pixel the view zenith angle. The formula presented can estimate clumping index of the mixed pixel more accurately, which is significant for LAI inversion of coarse spatial resolution and the precision accuracy application of carbon cycle model.
Keywords :
atmospheric composition; carbon; ecology; geophysical image processing; image resolution; inverse problems; sensitivity analysis; vegetation; vegetation mapping; LAI inversion; canopy; carbon cycle model; coarse spatial resolution; foliage clumping; image spatial resolution; mixed pixel analysis; mixed pixel clumping index; pixel spatial heterogeneity; precision accuracy; scale analysis; sensitivity analysis; true leaf area index; vegetation cover; vegetation structure parameter; view zenith angle; Biological system modeling; Educational institutions; Indexes; Remote sensing; Sensitivity analysis; Spatial resolution; Vegetation mapping; gap frequency; leaf area index; mixture pixel; pixel-scale clumping index;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International
Conference_Location :
Vancouver, BC
ISSN :
2153-6996
Print_ISBN :
978-1-4577-1003-2
Type :
conf
DOI :
10.1109/IGARSS.2011.6049245
Filename :
6049245
Link To Document :
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