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Hyperspectral characteristics and leaf area index monitoring of rice (Oryza sativa L.) under carbon dioxide concentration enrichment
Liu, Chao; Hu, Zhenghua; Kong, Rui; Yu, Lingfei1; Wang, Yuanyuan; Chen, Shutao; Zhang, Xuesong
2021
发表期刊SPECTROSCOPY LETTERS
ISSN0038-7010
卷号54期号:3页码:231-243
摘要Leaf area index is a vital biological parameter, which is widely used to monitor plant growth, evaluate health status, and predict yield. Remote sensing techniques are known to be nondestructive and effective methods for estimating leaf area index of plants, but little attention has been paid to predicting leaf area index under carbon dioxide enrichment. Field experiments were conducted to estimate the rice leaf area index under elevated carbon dioxide using hyperspectral remote sensing. The results showed that various spectral parameters, including the first derivative reflectance at 467 nm, the yellow edge amplitude, the normalized value of the green peak and red valley reflectance, the ratio of red edge and blue edge area, and the normalized value of the red edge and blue edge area, have a significantly correlated with the leaf area index. Further comparing the results of models, the normalized value of the green peak and red valley reflectance exhibited the optimal performance for estimating leaf area index. The best-fitted inversion model was y=6.89x (0.46) with the coefficient of determination was 0.75 and root mean square error was 0.31. This finding is helpful in providing guidance for monitoring rice leaf area index under carbon dioxide enrichment.
关键词Carbon dioxide enrichment inversion model leaf area index rice spectral parameter
学科领域Spectroscopy
DOI10.1080/00387010.2021.1894177
收录类别SCI
语种英语
WOS关键词ELEVATED CO2 ; RED-EDGE ; VEGETATION INDEXES ; LAI ESTIMATION ; SEASONAL-CHANGES ; WINTER-WHEAT ; NITROGEN ; GROWTH ; STRESS ; CORN
WOS研究方向Science Citation Index Expanded (SCI-EXPANDED)
WOS记录号WOS:000627246100001
出版者TAYLOR & FRANCIS INC
文献子类Article
出版地PHILADELPHIA
EISSN1532-2289
资助机构National Natural Science Foundation of China [42071023, 41775152, 41530533] ; Postgraduate Research & Practice Innovation Program of Jiangsu Province [SJKY19_0948] ; Jiangsu Key Laboratory of Agricultural Meteorology Foundation [KYQ1404]
作者邮箱zhhu@nuist.edu.cn
引用统计
被引频次:2[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ibcas.ac.cn/handle/2S10CLM1/26399
专题植被与环境变化国家重点实验室
作者单位1.Nanjing Univ Informat Sci & Technol, Collaborat Innovat Ctr Forecast & Evaluat Meteoro, Sch Appl Meteorol, Jiangsu Key Lab Agr Meteorol, Nanjing, Peoples R China
2.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing, Peoples R China
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GB/T 7714
Liu, Chao,Hu, Zhenghua,Kong, Rui,et al. Hyperspectral characteristics and leaf area index monitoring of rice (Oryza sativa L.) under carbon dioxide concentration enrichment[J]. SPECTROSCOPY LETTERS,2021,54(3):231-243.
APA Liu, Chao.,Hu, Zhenghua.,Kong, Rui.,Yu, Lingfei.,Wang, Yuanyuan.,...&Zhang, Xuesong.(2021).Hyperspectral characteristics and leaf area index monitoring of rice (Oryza sativa L.) under carbon dioxide concentration enrichment.SPECTROSCOPY LETTERS,54(3),231-243.
MLA Liu, Chao,et al."Hyperspectral characteristics and leaf area index monitoring of rice (Oryza sativa L.) under carbon dioxide concentration enrichment".SPECTROSCOPY LETTERS 54.3(2021):231-243.
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