Leaf polarized BRDF simulation based on Monte Carlo 3-D vector RT modeling

Kallel, A.

doi:10.1016/j.jqsrt.2018.09.033

Cited by 47 publications

(9 citation statements)

References 31 publications

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“…Clearly, the BPRFlab of leaves from the three different plant species (Fig. 3 (a)-(c)) is not completely independent of wavelength, because the leaf surface refractive index as a function of the wavelength, which leads to the variation of BPRF at different wavelengths [52]. The weak dependence of wavelength was also measured for the BPRFfield for leaves in the field (Fig.…”

Section: Resultsmentioning

confidence: 91%

“…This is due to the specular reflectance is partly polarized, the BPRFlab and BPRFfield can partially correct the specular reflectance. The BPRFlab and BPRFfield does not convey information about the internal properties of leaves [27,28,52,80]. By using the non-polarized reflectance factor, which emanates from within the leaf, improves the ability of spectral indices to estimate LCC, especially when viewing angles are dominated by specular reflectance.…”

Section: Using Non-polarized Reflectance Factor To Improve Estimatmentioning

confidence: 99%

“…14 (c) and (d). The relationship is exponential, because only the reflection at 680 nm is dependent on LCC, and the dependency on LCC is exponential [52]. Small difference between BPRFlab (BPRFfield) at 680 nm, 710 nm and 850 nm do not affect the relationship between (R850-R710)/(R850-R680) and LCC when BRFlab,n-p and HDRFfield,n-p are used.…”

Section: Improvement Of Lcc Estimation Using the Spectral Index Thmentioning

confidence: 99%

“…The diffuse portion, created through multiple scattering within a leaf, has a weak impact on the polarization of the leaf and is primarily related to non-polarized reflectance [27,28,31,32]. Therefore, information about the polarized component of reflected light is potentially related to leaf or vegetation surface structure properties [27,52,80], while the non-polarized component may be useful for describing the inner components of the leaf, such as pigmentation [29,33].…”

Section: Introductionmentioning

confidence: 99%

“…When measuring polarization, angular information is needed, which is then used to determine the dominant direction of reflectance at the leaf surface [49][50][51][52]. The leaf surface properties affect the accuracy of LCC estimates when measurements of the angular reflectance of leaves are used [53,54].…”

Section: Introductionmentioning

confidence: 99%

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Improvement of Leaf Chlorophyll Content Estimation Using Spectral Indices From Nonpolarized Reflectance Factor in the Laboratory and Field

Sun

et al. 2020

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Optical properties of light reflected from leaves can be described by both intensity and polarization, however, most studies focused on the intensity in the estimation of plant leaf biochemical parameters. In this study, multi-angular photometric and polarimetric measurements of leaves from three different plant species are firstly performed in laboratory, to estimate leaf chlorophyll content (LCC) using spectral indices at different viewing zenith angles. Based on the Stokes parameters, the spectral indices in terms of the I parameter reflectance factors in laboratory (IpRFlab if polarizer extinction is considered) can be used to estimate LCC, which has a similar accuracy as bidirectional reflectance factor (BRF); and the non-polarized spectral proportion (the reduction of bidirectional polarized reflectance factor (BPRF) from IpRF (IpRF-BPRF)) improves the ability of the spectral indices, including single wavelength, simple ratio, simple difference and normalized difference indices, along with some other indices to estimate LCC using multiangular measurements. Subsequently, the field photometric and polarimetric measurements of leaves further confirm that the non-polarized proportion improves the estimation of LCC for some spectral indices. These results not only provide evidence that the IpRFlab and IpRFfield taken from polarimetric measurements can be considered as the proxy of photometric measurements (BRF and HDRF) in both laboratory and field, but also open the possibility to improve the accuracy of LCC estimation using a nonpolarized spectral reflectance factor from multi-angular polarimetric measurements. These findings indicate that polarized remote sensing may play a significant role in vegetation studies. Index Terms-Leaf chlorophyll content; remote sensing; polarimetric property; spectral indices; multi-angular measurements.

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Section: Resultsmentioning

confidence: 91%

Section: Using Non-polarized Reflectance Factor To Improve Estimatmentioning

confidence: 99%

Section: Improvement Of Lcc Estimation Using the Spectral Index Thmentioning

confidence: 99%