DocumentCode :
2196567
Title :
Estimating clumping index of sparse forest using hemispherical photographs combined with Geoeye-1 data
Author :
Liu Yuan ; Gai Yingying ; Chen Gaoxing ; Fan Wenjie ; Xu Xiru ; Yan Binyan ; Liao Yanran
Author_Institution :
Inst. of RS & GIS, Peking Univ., Beijing, China
fYear :
2012
fDate :
22-27 July 2012
Firstpage :
3395
Lastpage :
3398
Abstract :
Clumping index is a critical physical parameter used to describe the clumping effect of vegetation canopy. In many studies, foliage elements are assumed to distribute randomly in the canopy and the clumping index is 1. However, for the irregularly or artificially spaced discrete vegetation canopies, such as savanna and sparse forests, the assumption is not in accordance with the actual case, the clumping index varies in the range of 0 to 1. As a result, the Leaf Area Index (LAI) retrieved directly from remote sensing data is always underestimated. Optical instruments, such as LAI-2000 canopy analyzer, TRAC, fish-eye camera, are difficult to measure the clumping index for sparse forests directly. In this paper, taking populus euphratica sparse forest in Heihe Basin as the research object, a new method combining hemispherical photography and high resolution images is established to estimate the clumping index. The results show that the method can accurately calculate clumping index and LAI for sparse forests and improve the validation of LAI products in water stressed regions.
Keywords :
photography; vegetation mapping; China; Geoeye-1 data; Heihe Basin; LAI-2000 canopy analyzer; Leaf Area Index; TRAC; clumping index estimation; fish eye camera; foliage elements; hemispherical photograph; remote sensing; sparse forest; vegetation canopy; Image resolution; Indexes; Optical imaging; Optical sensors; Remote sensing; Vegetation; Vegetation mapping; Geoeye-1 data; clumping index; hemispherical photograph; leaf area index;
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.2012.6350692
Filename :
6350692
Link To Document :
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