干旱区生态环境知识资源中心(Arid): 干旱区冬小麦不同生长阶段的光谱特征与叶绿素含量估测研究

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	干旱区冬小麦不同生长阶段的光谱特征与叶绿素含量估测研究
其他题名	The spectral characteristics and the best model for chlorophyll content at winter wheat growth stages in arid land
	王凯龙 1; 熊黑钢2 ; 张芳 1
来源期刊	干旱区资源与环境
ISSN	1003-7578
出版年	2013
卷号	27 期号:11 页码:45-49
中文摘要	通过实测的冬小麦整个生长阶段的叶片光谱与其SPAD值,分析了二者的变化规律,比较了15种高光谱指数与SPAD值的相关性,最后确定不同生长阶段估算小麦叶片SPAD值的最佳植被指数。结果表明:冬小麦叶片SPAD值在整个生育期内的变化规律显示出先升高后迅速下降的趋势,最大值出现在灌浆期;通过15种植被指数与叶片SAPD值的相关性比较,在拔节期,优化的土壤调节植被指数(OSAVI)与冬小麦叶片SPAD值的相关性最高,其模型精度为0.74;在孕穗期和开花期,叶面叶绿素指数LCI与SPAD值的相关性最好,其模型精度为0.72和0.79;在灌浆期R700与SPAD值的相关性最佳,其模型精度为0.70;在乳熟期红边位置REP与SPAD值的相关性最好,其模型精度为0.69。
英文摘要	Leaf chlorophyll content is an important parameter for the evaluation of wheat growth and it is of great significance to achieve rapid,non - destructive,accurate chlorophyll content estimation. The variation of the winter wheat canopy spectra and SPAD value in different stages were analyzed,and the best vegetation index to estimate wheat leaf SPAD at different growth stages was finally decided by comparing the correlation between 16 kinds of high spectral index and SPAD value. The results showed that the winter wheat SPAD value increased at first and then decreased rapidly and the maximum occurred at grain filling stage within the entire growth period. By comparing the correlation between 16 kinds of high spectral index and SPAD value,there was a high correlation between optimized soil adjusted vegetation index (OSAVI) and winter wheat SPAD value at jointing stage and a quantitative model was established,its accuracy was 0. 74; There was a high correlation between leaf chlorophyll index (LCI) and winter wheat SPAD at booting and flowering stages,and their accuracy were 0. 72 and 0. 79. The same as R700 at filling stage and REP at Milky stage,their accuracy were 0. 70 and 0. 69. Thus, technical support is provided for dynamic monitoring and managing winter wheat at the different growth stages.
中文关键词	SPAD值 ; 高光谱 ; 估测模型
英文关键词	chlorophyll hyperspectral estimation model
语种	中文
国家	中国
收录类别	CSCD
WOS类目	PLANT SCIENCES
WOS研究方向	Plant Sciences
CSCD记录号	CSCD:4961736
来源机构	新疆大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/229667
作者单位	1.新疆大学资源与环境科学学院, 教育部绿洲生态重点实验室, 乌鲁木齐, 新疆 830046, 中国; 2.北京联合大学应用文理学院城市系, 教育部绿洲生态重点实验室, 北京 100083, 中国
推荐引用方式 GB/T 7714	王凯龙,熊黑钢,张芳. 干旱区冬小麦不同生长阶段的光谱特征与叶绿素含量估测研究[J]. 新疆大学,2013,27(11):45-49.
APA	王凯龙,熊黑钢,&张芳.(2013).干旱区冬小麦不同生长阶段的光谱特征与叶绿素含量估测研究.干旱区资源与环境,27(11),45-49.
MLA	王凯龙,et al."干旱区冬小麦不同生长阶段的光谱特征与叶绿素含量估测研究".干旱区资源与环境 27.11(2013):45-49.