PRINCIPAL COMPONENT ANALYSIS METHOD FOR RETRIEVING LEAF AREA <br />
INDEX OF RICE FROM HYPERSPECTRAL DATA

doi:10.6046/gtzyyg.2007.03.11

Download: PDF(622 KB)
Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks

Abstract

In order to extract the leaf area index (LAI) information from the canopy reflectance spectra of rice,

the authors tentatively simulated the canopy reflectance based on the radiative transfer model PROSPECT+SAIL and

compared several vegetation indices to define the correlation between the chlorophyll content and LAI. The

observation of the spectral signature near the red edge showed distinguished behavior for chlorophyll content and

LAI. Therefore, the principal component analysis was used as a supplementary method when vegetation indices could

not reach good results in getting LAI information. An analysis of the ground measurement of rice spectra and LAI

also substantiates this method.

Keywords Forest resources Remote senisng dynamic monitoring Evolution tendency

TP 79

Issue Date: 21 July 2009

	Service

	E-mail this article
	E-mail Alert
	RSS
	Articles by authors

Cite this article:

YANG Yan, TIAN Qing-Jiu. PRINCIPAL COMPONENT ANALYSIS METHOD FOR RETRIEVING LEAF AREA
INDEX OF RICE FROM HYPERSPECTRAL DATA[J]. REMOTE SENSING FOR LAND & RESOURCES,2007, 19(3): 47-50.

URL:

https://www.gtzyyg.com/EN/10.6046/gtzyyg.2007.03.11 OR https://www.gtzyyg.com/EN/Y2007/V19/I3/47

[1]	CHEN Dong-Hua, LI Hu, MA Jiang-Lin. THE MONITORING OF FOREST RESOURCES IN WEST TIANSHAN MOUNTAIN BASED ON CBERS-2 DATA[J]. REMOTE SENSING FOR LAND & RESOURCES, 2007, 19(2): 86-89.
[2]	HAN Ai-hui, WANG Qing-jie, SUN Xiang-ran . THE FEASIBILTY OF APPLYING CBERS-02 CCD DATA TO FOREST RESOURCES MONITORING[J]. REMOTE SENSING FOR LAND & RESOURCES, 2004, 16(2): 61-64，78.
[3]	Quan Zhijie, Chu Hongyang, Li Yunke, Mao Xiaoli, Wang Lihong . REMOTE SENSING DYNAMIC MONITORING AND MARKOV PREDICTING TO THE FOREST RESOURCES OF LIUPANSHAN MOUNTAIN AREA[J]. REMOTE SENSING FOR LAND & RESOURCES, 1996, 8(3): 40-44.