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Chinese Academy of Sciences Institutional Repositories Grid
Quantitative Estimation of Fluorescence Parameters for Crop Leaves with Bayesian Inversion

文献类型:期刊论文

作者Zhao, Feng1; Guo, Yiqing1; Huang, Yanbo1; Verhoef, Wout1; van der Tol, Christiaan1; Dai, Bo1; Liu, Liangyun1; Zhao, Huijie1; Liu, Guang1
刊名Remote Sensing
出版日期2015
卷号7期号:10页码:364-375
关键词chlorophyll fluorescence FluorMODleaf model inversion Bayesian approach hyperspectral remote sensing radiative transfer
通讯作者Zhao, F (reprint author), Beihang Univ, Sch Instrumentat Sci & Optoelect Engn, Beijing 100191, Peoples R China.
英文摘要In this study, backward and forward fluorescence radiance within the emission spectrum of 640-850 nm were measured for leaves of soybean, cotton, peanut and wheat using a hyperspectral spectroradiometer coupled with an integration sphere. Fluorescence parameters of crop leaves were retrieved from the leaf hyperspectral measurements by inverting the FluorMODleaf model, a leaf-level fluorescence model able to simulate chlorophyll fluorescence spectra for both sides of leaves. This model is based on the widely used and validated PROSPECT (leaf optical properties) model. Firstly, a sensitivity analysis of the FluorMODleaf model was performed to identify and quantify influential parameters to assist the strategy for the inversion. Implementation of the Extended Fourier Amplitude Sensitivity Test (EFAST) method showed that the leaf chlorophyll content and the fluorescence lifetimes of photosystem I (PSI) and photosystem II (PSII) were the most sensitive parameters among all eight inputs of the FluorMODleaf model. Based on results of sensitivity analysis, the FluorMODleaf model was inverted using the leaf fluorescence spectra measured from both sides of crop leaves. In order to achieve stable inversion results, the Bayesian inference theory was applied. The relative absorption cross section of PSI and PSII and the fluorescence lifetimes of PSI and PSII of the FluorMODleaf model were retrieved with the Bayesian inversion approach. Results showed that the coefficient of determination (R2) and root mean square error (RMSE) between the fluorescence signal reconstructed from the inverted fluorescence parameters and measured in the experiment were 0.96 and 3.14 x 10-6 W m-2. sr-l nm-1, respectively, for backward fluorescence, and 0.92 and 3.84 x 10' W.m-2. sr-1.nm-1 for forward fluorescence. Based on results, the inverted values of the fluorescence parameters were analyzed, and the potential of this method was investigated.
研究领域[WOS]Remote Sensing
收录类别SCI ; EI
语种英语
WOS记录号WOS:000364328600073
源URL[http://ir.ceode.ac.cn/handle/183411/38377]  
专题遥感与数字地球研究所_SCI/EI期刊论文_期刊论文
作者单位1.[Zhao, Feng
2.Guo, Yiqing
3.Dai, Bo
4.Zhao, Huijie] Beihang Univ, Sch Instrumentat Sci & Optoelect Engn, Beijing 100191, Peoples R China
5.[Huang, Yanbo] USDA ARS, Crop Prod Syst Res Unit, Stoneville, MS 38776 USA
6.[Verhoef, Wout
7.van der Tol, Christiaan] Univ Twente, Fac Geoinformat Sci & Earth Observat ITC, NL-7500 AE Enschede, Netherlands
8.[Liu, Liangyun
9.Liu, Guang] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing 100094, Peoples R China
推荐引用方式
GB/T 7714
Zhao, Feng,Guo, Yiqing,Huang, Yanbo,et al. Quantitative Estimation of Fluorescence Parameters for Crop Leaves with Bayesian Inversion[J]. Remote Sensing,2015,7(10):364-375.
APA Zhao, Feng.,Guo, Yiqing.,Huang, Yanbo.,Verhoef, Wout.,van der Tol, Christiaan.,...&Liu, Guang.(2015).Quantitative Estimation of Fluorescence Parameters for Crop Leaves with Bayesian Inversion.Remote Sensing,7(10),364-375.
MLA Zhao, Feng,et al."Quantitative Estimation of Fluorescence Parameters for Crop Leaves with Bayesian Inversion".Remote Sensing 7.10(2015):364-375.

入库方式: OAI收割

来源:遥感与数字地球研究所

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