Hyperspectral characteristics and leaf area index monitoring of rice (Oryza sativa L.) under carbon dioxide concentration enrichment
文献类型：期刊论文
| 作者 | Liu, Chao; Hu, Zhenghua; Kong, Rui; Yu, Lingfei2; Wang, Yuanyuan; Chen, Shutao; Zhang, Xuesong |
| 刊名 | SPECTROSCOPY LETTERS
 |
| 出版日期 | 2021 |
| 卷号 | 54期号:3页码:231-243 |
| 关键词 | Carbon dioxide enrichment inversion model leaf area index rice spectral parameter |
| ISSN号 | 0038-7010 |
| DOI | 10.1080/00387010.2021.1894177 |
| 文献子类 | Article |
| 英文摘要 | 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. |
| 学科主题 | Spectroscopy |
| 出版地 | PHILADELPHIA |
| 电子版国际标准刊号 | 1532-2289 |
| 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) |
| 语种 | 英语 |
| WOS记录号 | WOS:000627246100001 |
| 出版者 | TAYLOR & FRANCIS INC |
| 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] |
| 源URL | [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.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing, Peoples R China 2.Nanjing Univ Informat Sci & Technol, Collaborat Innovat Ctr Forecast & Evaluat Meteoro, Sch Appl Meteorol, Jiangsu Key Lab Agr Meteorol, Nanjing, Peoples R China |
| 推荐引用方式 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. |
入库方式： OAI收割
来源：植物研究所
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