An Approach to Improve Leaf Pigment Content Retrieval by Removing Specular Reflectance Through Polarization Measurements

2019 ◽  
Vol 57 (4) ◽  
pp. 2173-2186 ◽  
Author(s):  
Yingying Li ◽  
Yaoliang Chen ◽  
Jingfeng Huang
2021 ◽  
Author(s):  
Jorge Andres Arias Rios ◽  
Veronica Andrea El Mujtar ◽  
Mario Juan Pastorino ◽  
Paula Marchelli

Abstract Physiological, morphological and phenological attributes are potentially adaptive traits that determine functional responses to certain environmental conditions. They are crucial for understanding adaptations to environmental variation along a species natural range. In particular, leaf pigment content can be a good proxy to the physiological and phenological tree state. Our goal was to evaluate the variation in pigment traits among Nothofagus alpina populations in a common garden trail during two years to infer local adaptation and/or phenotypic plasticity. We also aim to analyse the correlation between pigment traits and phenological traits and climatic data from the geographic location of the populations. To comprise the entire range of the species in Argentina, we analysed 400 individuals from eight natural populations coming from four lake watersheds. Pigment traits were estimated using a spectrophotometer and analysed with linear mixed model (LMM). Significant differences among fixed factors (populations - years and watershed – years) were found in chlorophyl a, b, total, carotenoids and anthocyanins concentrations. Higher concentrations were found for 2018, year with the highest number of rainy days and accumulated precipitation. Two populations (Boquete and Tren Tren) were always the most contrasting ones. At population level, the correlation between the means of pigment concentrations and phenological traits was significant in almost all cases. Conversely, the correlation between the means of population pigment concentrations and the main geographic, climatic and bioclimatic variables of the home range were not significant. The significance of the environmental factor (year) in the linear mixed models tested is evidence of phenotypic plasticity of pigment content, suggesting flexibility for acclimatization to moderate inter-annual changes in climatic conditions. The significance of population and watershed and the influence of the family factor on the variance of the pigment traits are evidence of the genetic control as well as the potential adaptive value of leaf pigment content in N. alpina, giving a base for adaptation to a long-lasting change in climate. High correlations between phenological and pigment traits indicate that, in N. alpina, the determination of only one pigment concentration could be used as a proxy of bud burst, senescence and growing degree days.


2019 ◽  
Vol 11 (8) ◽  
pp. 983 ◽  
Author(s):  
Li ◽  
Huang

Leaf pigment content retrieval is negatively affected by specular reflectance. To alleviate this effect, some specific techniques that take specular reflectance or specular effects into account have been proposed. In this study, continuous wavelet transform (CWT) and specific techniques including some vegetation indices (VIs), radiative transfer (RT), and hybrid models, were examined and compared in the nadir and near the mirror-like direction, with a 30° incident zenith angle. Results show that the RT and hybrid models appeared to be ill-posed, and they were not applicable at this high-incident zenith angle (>20°). Most VIs effectively alleviated the specular disturbance in the forward 35° direction, and comparable accuracy was obtained between the two viewing directions. Multiple linear regression (MLR), derivative transformation, and CWT were effective for specular interference alleviation. The MLR-based methods (reflectance, derivatives, etc., as the independent variables and pigment content as the response) generally obtained higher retrieval accuracies than the VIs. With MLR-based methods, the retrieval was more accurate for chlorophylls than for carotenoids. CWT plus MLR (MLR on wavelet coefficients) was the most prominent among all the methods, and it generally obtained the highest accuracy. The results are 2.68 and 0.88 μg/cm² for chlorophylls and carotenoids, respectively, in the nadir direction, and 2.42 and 0.86 μg/cm² in the forward 35° direction, with reflectance or the first derivative input for CWT. In the retrieval, wavelet coefficients at the optimal decomposition scale may achieve a balance in corresponding to fine, and broad absorption features, and the overall reflectance properties.


2014 ◽  
Vol 955-959 ◽  
pp. 763-770
Author(s):  
Peng Zhou ◽  
Xiao Tai Niu ◽  
Song Guo ◽  
Ming Deng Shi

Measured southern jujube pest stress index leaf pigment, create jujube jujube leaf rust sensitive bands characteristic parameter table, analyze the spectral characteristics of the relevant characteristics and vegetation index jujube high correlation parameters. Determination of diseased leaves and growing spectrum of different pigment content. Analysis jujube leaf rust pigment content and spectral reflectance correlation study comparing jujube leaf rust pigment content and differential spectral correlation. Hyperspectral characteristic parameters to achieve the southern jujube jujube leaf rust pigments PC1/PC2 and PC1+PC2 content estimation. Using a combination of linear and polynomial fitting method to construct the canopy hyperspectral disease dates Brix content estimation model and test. The probabilistic neural network PNN and SVM classifier SVC applied to hyperspectral estimation model, comparative analysis of model accuracy. The results of the quantitative estimation of disease hyperspectral information dates pigment content in leaves of jujube growing use of high spectral monitoring and impact assessment of disease have high practical value. classification accuracy of 98%, obtained very satisfactory recognition results.


Author(s):  
H. Croft ◽  
J.M. Chen
Keyword(s):  

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