Chlorophyll content retrieve of vegetation using Hyperion data based on empirical models

doi:10.6046/gtzyyg.2014.01.13

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Abstract

Modeling using empirical methods based on Hyperion is a fast and accurate way to retrieve vegetation chlorophyll content. In this paper,the measured spectra and simulated Hyperion spectra were analyzed,the correlation between chlorophyll content and reflectance with its change forms and the relation between chlorophyll content and red edge parameters as well as vegetation indexes were calculated to obtain the most accurate modeling method. The vegetation index of modified simple ratio(MSR)has a significant correlation with chlorophyll content,and its regression model can retrieve chlorophyll concentration accurately. Using MSR and measured chlorophyll content,the authors built the regression model based on Hyperion data and then established the chlorophyll concentration profile. The chlorophyll concentration profile of Zhangye City was computed and a high-accuracy was achieved,with its relative error less than 5%.

Keywords remote sensing dynamic monitoring of land use mean shift MPI segmentation parameters

TP751.1

Issue Date: 08 January 2014

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	YUAN Yuan
	LIU Shunxi
	CHEN Jingbo
	WANG Zhongwu
	LIU Xiaoyi
	WU Bin

Cite this article:

YUAN Yuan,LIU Shunxi,CHEN Jingbo, et al. Chlorophyll content retrieve of vegetation using Hyperion data based on empirical models[J]. REMOTE SENSING FOR LAND & RESOURCES, 2014, 26(1): 71-77.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2014.01.13 OR https://www.gtzyyg.com/EN/Y2014/V26/I1/71

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