北京市农林科学院机构知识库

Using new hyperspectral index to estimate leaf chlorophyll content in winter wheat

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文献类型：外文期刊

作者： Xu, Xingang ¹ ; Song, Xiaoyu ¹ ; Li, Cunjun ¹ ; Wang, Jihua ¹ ;

作者机构： 1.Beijing Res Ctr Informat Technol Agr, Beijing, Peoples R China

关键词： leaf chlorophyll conten;normalized reflectance;spectral index;winter wheat

期刊名称：2012 FIRST INTERNATIONAL CONFERENCE ON AGRO-GEOINFORMATICS (AGRO-GEOINFORMATICS)

ISSN： 2334-3168

年卷期： 2012 年

页码：

收录情况： SCI

摘要： Leaf chlorophyll content is a key indicator of crop photosynthesis activity, which is correlated with leaf nitrogen concentration, and can serve nitrogen fertilizer decision-making. So it is of significant to estimate chlorophyll content for crop growth diagnosis. In this study, a new hyperspectral index was proposed to estimate leaf chlorophyll content in winter wheat. Hyperspectral reflectance data, covering bands from 350 to 2500nm, were collected using a ground-based ASD spectrometer on winter wheat at different stages from 2008 in rural fields of Beijing, China. Leaf chlorophyll content was obtained by traditional laboratory methods on the same area. First, hyperspectral reflectance data from 400 to 1300nm were normalized, and then a new spectral index, symbolized k(nir), was proposed by a mean of fitting the normalized reflectance ranging from 760 to 920nm to evaluate chlorophyll content in winter wheat in comparison with some existing typical indices. The analysis results showed that k(nir) was the best index for assessing chlorophyll comparing with the existing indices, with R-2 value of 0.51. It indicates that the new spectral index has a good potential for estimating chlorophyll in winter wheat.

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