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遥感技术与应用  2007, Vol. 22 Issue (5): 586-592    DOI: 10.11873/j.issn.1004-0323.2007.5.586
研究与应用     
玉米叶面积指数与高光谱植被指数关系研究
李凤秀1,2,张柏1,宋开山1,王宗明1,刘焕军1,2,杨飞1,2
1.中国科学院东北地理与农业生态研究所,吉林 长春130012; 2.中国科学院研究生院,北京100049
Research and Analysis of the Correlation between Hyperspectral Vegetation Index and Leaf Area Index

LI Feng-xiu 1,2,ZHANG Bai 1,SONG Kai-shan 1,WANG Zong-ming 1,LIU Huan-jun 1,2,YANG Fei1,2

1.Northeast Institute of Geography and Agricultural Ecology,Chinese Academy of Sciences,Changchun 130012,China;
2.Graduate School,Chinese Academy of Sciences,Beijing 100049,China
 全文: PDF(904 KB)  
摘要:

探讨以不同的植被指数建立的高光谱模型对玉米叶面积指数LAI的反演精度。实测不同水肥耦合作用下,玉米冠层的高光谱反射率与叶面积指数(Leaf Area Index)数据,采用高光谱红光波段(631~760 nm)与近红外波段(760~1 074 nm)逐波段构建NDVI、RVI、DVI、TSAVI、PVI植被指数,分别找出与LAI具有最佳相关性波段组合的植被指数,建立玉米LAI估算模型。结果显示,与LAI具有佳相关性的波段组合分别是NDVI(R760,R990)、RVI(R760,R1001)、DVI(R677,R1070)、TSAVI(R 760,R 975)、PVI(R658,R966),它们反演玉米LAI的确定性系数分别:R2>0.72、R2>0.74、R2=0.95、R2>0.79、R2>0.95。结果表明,在玉米的整个生长季的47个样本中,通过PVI和DVI方式建立的遥感估算模型能够较为准确地估算玉米LAI,TSAVI次之,NDVI、RVI稍差。


关键词: 高光谱玉米LAINDVIRVIDVITSAVIPVI    
Abstract:

An experiment was carried out to evaluate the precision of hyperspectral reflectance model to monitor corn leaf area index (LAI).Corn were cultivated under water-fertilizer coupled control condition,and corn LAI was collected simultaneouslywith LI-COR LAI-2000,and Corn canopy reflectance data were collected with ASD spectroradiometer (350~1 074nm). Firstly,eachband of NIR and red were applied to establish five Vegetation Indices; secondly,find out the best band for each kind ofVegetation Index respectively; finally,five Vegetation Indices with the best reflectance band were applied to regressagainst corn LAI.The result shows that the best Vegetation Indices with reflectance which could be applied to regressagainst corn LAI were DVI and PVI,however,TSAVI was not as well as DVI and PVI,but better than NDVI and RVI.

Key words: Hyperspectral    Corn LAI    NDVI    RVI    DVI    TSAVI    PVI
收稿日期: 2007-03-31 出版日期: 2010-09-03
:  TP 79   
基金资助:

中国科学院知识创新重要方向性项目(KZCX3-SW-356)与中国长春净月潭遥感站网络台站基金资助。

作者简介: 李凤秀(1980-)男,硕士研究生,研究方向为植被的高光谱生理参数反演。
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引用本文:

李凤秀, 张柏, 宋开山, 王宗明, 刘焕军, 杨飞. 玉米叶面积指数与高光谱植被指数关系研究[J]. 遥感技术与应用, 2007, 22(5): 586-592.

LI Feng-Xiu, ZHANG Bai, SONG Kai-Shan, WANG Zong-Ming, LIU Huan-Jun, YANG Fei. Research and Analysis of the Correlation between Hyperspectral Vegetation Index and Leaf Area Index. Remote Sensing Technology and Application, 2007, 22(5): 586-592.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2007.5.586        http://www.rsta.ac.cn/CN/Y2007/V22/I5/586

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