Analyzing the Effect of Fluorescence Characteristics on Leaf Nitrogen Concentration Estimation
文献类型：期刊论文
| 作者 | Chen, Biwu2; Sun, Jia2; Gong, Wei1,2; Shi, Shuo1,2; Du, Lin4; Song, Shalei3; Yang, Jian4 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2018-09-01 |
| 卷号 | 10期号:9页码:15 |
| 关键词 | laser-induced fluorescence leaf nitrogen concentration back-propagation neural network principal component analysis fluorescence characteristics |
| ISSN号 | 2072-4292 |
| DOI | 10.3390/rs10091402 |
| 英文摘要 | Leaf nitrogen concentration (LNC) is a significant indicator of crops growth status, which is related to crop yield and photosynthetic efficiency. Laser-induced fluorescence is a promising technology for LNC estimation and has been widely used in remote sensing. The accuracy of LNC monitoring relies greatly on the selection of fluorescence characteristics and the number of fluorescence characteristics. It would be useful to analyze the performance of fluorescence intensity and ratio characteristics at different wavelengths for LNC estimation. In this study, the fluorescence spectra of paddy rice excited by different excitation light wavelengths (355 nm, 460 nm, and 556 nm) were acquired. The performance of the fluorescence intensity and fluorescence ratio of each band were analyzed in detail based on back-propagation neural network (BPNN) for LNC estimation. At 355 nm and 460 nm excitation wavelengths, the fluorescence characteristics related to LNC were mainly located in the far-red region, and at 556 nm excitation wavelength, the red region being an optimal band. Additionally, the effect of the number of fluorescence characteristics on the accuracy of LNC estimation was analyzed by using principal component analysis combined with BPNN. Results demonstrate that at least two fluorescence spectral features should be selected in the red and far-red regions to estimate LNC and efficiently improve the accuracy of LNC estimation. |
| WOS关键词 | LASER-INDUCED FLUORESCENCE ; CHLOROPHYLL-A FLUORESCENCE ; HYPERSPECTRAL REFLECTANCE ; NEURAL-NETWORK ; GREEN PLANTS ; PADDY RICE ; VEGETATION ; WHEAT ; IDENTIFICATION ; DEFICIENCY |
| 资助项目 | National Key Research and Development Program of China[2018YFB0504500] ; National Natural Science Foundation[41571370] ; Natural Science Foundation of Hubei Province[2018CFB272] ; Open Fund of State Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University[17R05] ; Fundamental Research Funds for the Central Universities, China University of Geosciences (Wuhan)[CUG170661] |
| WOS研究方向 | Remote Sensing |
| 语种 | 英语 |
| WOS记录号 | WOS:000449993800082 |
| 出版者 | MDPI |
| 资助机构 | National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Natural Science Foundation ; National Natural Science Foundation ; Natural Science Foundation of Hubei Province ; Natural Science Foundation of Hubei Province ; Open Fund of State Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University ; Open Fund of State Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University ; Fundamental Research Funds for the Central Universities, China University of Geosciences (Wuhan) ; Fundamental Research Funds for the Central Universities, China University of Geosciences (Wuhan) ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Natural Science Foundation ; National Natural Science Foundation ; Natural Science Foundation of Hubei Province ; Natural Science Foundation of Hubei Province ; Open Fund of State Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University ; Open Fund of State Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University ; Fundamental Research Funds for the Central Universities, China University of Geosciences (Wuhan) ; Fundamental Research Funds for the Central Universities, China University of Geosciences (Wuhan) ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Natural Science Foundation ; National Natural Science Foundation ; Natural Science Foundation of Hubei Province ; Natural Science Foundation of Hubei Province ; Open Fund of State Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University ; Open Fund of State Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University ; Fundamental Research Funds for the Central Universities, China University of Geosciences (Wuhan) ; Fundamental Research Funds for the Central Universities, China University of Geosciences (Wuhan) ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Natural Science Foundation ; National Natural Science Foundation ; Natural Science Foundation of Hubei Province ; Natural Science Foundation of Hubei Province ; Open Fund of State Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University ; Open Fund of State Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University ; Fundamental Research Funds for the Central Universities, China University of Geosciences (Wuhan) ; Fundamental Research Funds for the Central Universities, China University of Geosciences (Wuhan) |
| 源URL | [http://ir.wipm.ac.cn/handle/112942/13390]  |
| 专题 | 中国科学院武汉物理与数学研究所 |
| 通讯作者 | Song, Shalei |
| 作者单位 | 1.Collaborat Innovat Ctr Geospatial Technol, Wuhan 430079, Hubei, Peoples R China 2.Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan 430079, Hubei, Peoples R China 3.Chinese Acad Sci, Wuhan Inst Phys & Math, Wuhan 430071, Hubei, Peoples R China 4.China Univ Geosci, Fac Informat Engn, Wuhan 430074, Hubei, Peoples R China |
| 推荐引用方式 GB/T 7714 | Chen, Biwu,Sun, Jia,Gong, Wei,et al. Analyzing the Effect of Fluorescence Characteristics on Leaf Nitrogen Concentration Estimation[J]. REMOTE SENSING,2018,10(9):15. |
| APA | Chen, Biwu.,Sun, Jia.,Gong, Wei.,Shi, Shuo.,Du, Lin.,...&Yang, Jian.(2018).Analyzing the Effect of Fluorescence Characteristics on Leaf Nitrogen Concentration Estimation.REMOTE SENSING,10(9),15. |
| MLA | Chen, Biwu,et al."Analyzing the Effect of Fluorescence Characteristics on Leaf Nitrogen Concentration Estimation".REMOTE SENSING 10.9(2018):15. |
入库方式： OAI收割
来源：武汉物理与数学研究所
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