| 利用高光谱植被指数监测紧凑型玉米叶绿素荧光参数F_v/F_m |
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| 作者姓名： | Tan CW Huang WJ Jin XL Wang JC Tong L Wang JH Guo WS |
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| 作者单位： | 扬州大学江苏省作物遗传生理重点实验室/农业部长江中下游作物生理生态与栽培重点开放实验室;国家农业信息化工程技术研究中心 |
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| 基金项目： | 国家自然科学基金项目(40801122,41101395);江苏高校优势学科建设工程项目;公益性行业(农业)科研专项经费项目(200803037)资助 |
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| 摘 要： | 为进一步评价遥感监测紧凑型玉米叶绿素荧光参数Fv/Fm的可行性,通过开展小区紧凑型玉米试验,分析紧凑型玉米整个生育期Fv/Fm与高光谱植被指数的相关关系,建立紧凑型玉米Fv/Fm高光谱监测模型。结果表明,紧凑型玉米Fv/Fm与选取的高光谱植被指数均呈极显著正相关,其中结构敏感色素指数(SIPI)与Fv/Fm的相关性最好,相关系数(r)为0.88。用SIPI建立紧凑型玉米Fv/Fm的监测模型,其决定系数(R2)为0.812 6,均方根误差(RMSE)为0.082。研究表明,利用高光谱植被指数可以有效地监测紧凑型玉米整个生育期的Fv/Fm。
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| 关 键 词： | 高光谱植被指数 Fv/Fm 监测模型 紧凑型玉米 |
Monitoring the chlorophyll fluorescence parameter Fv/Fm in compact corn based on different hyperspectral vegetation indices |
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| Tan CW,Huang WJ,Jin XL,Wang JC,Tong L,Wang JH,Guo WS.Monitoring the chlorophyll fluorescence parameter Fv/Fm in compact corn based on different hyperspectral vegetation indices[J].Spectroscopy and Spectral Analysis,2012,32(5):1287-1291. |
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| Authors: | Tan Chang-wei Huang Wen-jiang Jin Xiu-liang Wang Jun-chan Tong Lu Wang Ji-hua Guo Wen-shan |
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| Institution: | Key Laboratory of Crop Genetics and Physiology of Jiangsu Province/Key Laboratory of Crop Physiology, Ecology and Cultivation in Middle and Lower Reaches of Yangtse River of Ministry of Agriculture, Yangzhou University, Yangzhou 225009, China. tanwei010@126.com |
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| Abstract: | In order to further assess the feasibility of monitoring the chlorophyll fluorescence parameter Fv/Fm in compact corn by hyperspectral remote sensing data, in the present study, hyperspectral vegetation indices from in-situ remote sensing measurements were utilized to monitor the chlorophyll fluorescence parameter Fv/Fm measured in the compact corn experiment. The relationships were analyzed between hyperspectral vegetation indices and Fv/Fm, and the monitoring models were established for Fv/Fm in the whole growth stages of compact corn. The results indicated that Fv/Fm was significantly correlated to the hyperspectral vegetation indices. Among them, structure-sensitive pigment index (SIPI) was the most sensitive remote sensing variable for monitoring Fv/Fm with correlation coefficient (r) of 0.88. The monitoring model of Fv/Fm was established on the base of SIPI, and the determination coefficients (r2) and the root mean square errors (RMSE) were 0.8126 and 0.082 respectively. The overall results suggest that hyperspectral vegetation indices can be potential indicators to monitor Fv/Fm during growth stages of compact corn. |
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| Keywords: | Hyperspectral vegetation index Fv/Fm Monitoring model Compact corn |
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