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小麦叶面积指数与冠层反射光谱的定量关系
引用本文:李映雪,朱艳,戴廷波,田永超,曹卫星.小麦叶面积指数与冠层反射光谱的定量关系[J].应用生态学报,2006,17(8):1443-1447.
作者姓名:李映雪  朱艳  戴廷波  田永超  曹卫星
作者单位:南京农业大学江苏省信息农业高技术研究重点实验室, 农业部作物生长调控重点开放实验室, 南京 210095
基金项目:国家自然科学基金;江苏省自然科学基金;高等学校博士学科点专项科研项目
摘    要:在分析不同氮素水平下小麦叶面积指数(LAI)和冠层光谱反射率随生育期变化模式的基础上,确立了LAI与冠层光谱反射率及光谱参数的相关关系,提出了小麦LAI的敏感光谱参数及预测方程.结果表明,小麦LAI和近红外短波段(760~1 220 nm)反射率都随施氮量的增加呈上升趋势,可见光波段反射率则相反;从拔节期到成熟期,LAI和近红外短波段反射率均表现为先上升后下降的趋势,而可见光波段(460~710 nm)反射率随生育期的推进先降低后升高,以孕穗期反射率最低,近红外长波段区域(1 480~1 650 nm)反射率的变化与可见光部分相同.LAI与可见光波段反射率呈负相关,与近红外短波段反射率呈极显著正相关,其中以810 nm相关性最好.可以选择RVI(810,510)和DVI(810,560)作为反演小麦LAI的光谱参数.另外,在证明垂直植被指数PVI和转换型土壤调整指数TSAVI对LAI预测能力的同时,发现利用RVI(810,510)、DVI(810,560)和PVI 3个植被指数共同推算小麦LAI的准确度更高.

关 键 词:有机酸  Cd  黑麦草  毒性  
文章编号:1001-9332(2006)08-1443-05
收稿时间:2005-07-29
修稿时间:2006-06-11

Quantitative relationships between leaf area index and canopy reflectance spectra of wheat
LI Yingxue,ZHU Yan,DAI Tingbo,TIAN Yongchao,CAO Weixing.Quantitative relationships between leaf area index and canopy reflectance spectra of wheat[J].Chinese Journal of Applied Ecology,2006,17(8):1443-1447.
Authors:LI Yingxue  ZHU Yan  DAI Tingbo  TIAN Yongchao  CAO Weixing
Institution:Hi-Tech Key Laboratory of Information Agriculture of Jiangsu Province, Key Laboratory of Crop Growth Regulation of Agriculture Ministry, Nanjing Agricultural University, Nanjing 210095, China
Abstract:Based on the change patterns of leaf area index (LAI) and canopy spectral reflectance of wheat at different growth stages and nitrogen application rates, this paper investigated the relationships of LAI with canopy reflectance and spectral parameters, and brought forward the sensitive spectral parameters and quantitative equation for predicting wheat LAI. The results showed that with increasing nitrogen application rate, wheat LAI and its canopy reflectance at near infrared (760 to approximately 1220 nm) increased, whereas the reflectance at visible band (460 to approximately 710 nm) decreased. From jointing to maturity, the LAI and the reflectance of short bands in near infrared increased initially and decreased then, whereas the reflectance of visible light and long bands in near infrared was in adverse, with the lowest value appeared at booting stage. Wheat LAI was negatively correlated with the reflectance of visible light, but positively with that of short bands in near infrared, with the highest correlation coefficient at 810 nm. It was proposed that wheat LAI could be well monitored by vegetation indices RVI (810, 510) and DVI (810, 560). PVI and TSAVI were proved to be the spectral indices in monitoring wheat LAI, and higher accuracy was obtained with combined RVI (810, 510), DVI (810, 560) and PVI.
Keywords:Wheat  Leaf area index  Canopy reflectance spectra  Spectral index  Quantitative relationship  
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