Quantitative Estimation of Fluorescence Parameters for Crop Leaves with Bayesian Inversion

Remote Sensing

Feng Zhao³  Yiqing Guo³  Yanbo Huang¹  Wout Verhoef²  Christiaan van der Tol²  Bo Dai³  Liangyun Liu⁴  Huijie Zhao³  Guang Liu⁴  Tao Cheng⁵  Clement Atzberger⁵ 

[1]United States Department of Agriculture-Agricultural Research Service, Crop Production Systems Research Unit, 141 Experiment Station Road, Stoneville, MS 38776, USA

[2] E-Mail:

[3]Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, P.O. Box 217, Enschede 7500 AE, The Netherlands

[4] E-Mails:

[5]School of Instrumentation Science and Opto-electronics Engineering, Beihang University, Beijing 100191, China

[6] E-Mails:

[7]Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, No.9 Dengzhuang South Road, Haidian District, Beijing 100094, China

[8] E-Mails:School of Instrumentation Science and Opto-electronics Engineering, Beihang University, Beijing 100191, China

关键词: chlorophyll fluorescence;    FluorMODleaf;    model inversion;    Bayesian approach;    hyperspectral remote sensing;    radiative transfer;   

DOI  :  10.3390/rs71014179

来源: mdpi

【 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 × 10⁻⁶ W·m⁻²·sr⁻¹·nm⁻¹, respectively, for backward fluorescence, and 0.92 and 3.84 × 10⁻⁶ 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.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.