An assessment of the bidirectional reflectance models basing on laboratory experiment of natural particulate surfaces

Sun, Zhongqiu; Lv, Yuguang; Lu, Shan

doi:10.1016/j.jqsrt.2015.05.005

Cited by 14 publications

(1 citation statement)

References 70 publications

(133 reference statements)

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“…Because of the limitations of our apparatus, 8° was the smallest phase‐angle measurement that we could obtain when rotating the arm in the viewing direction. NENULGS has been used to detect phase and spectral reflectance curves and the linear polarization degree of snow, soil, and ice when the incident light is unpolarized [ Lv and Sun , ; Sun et al , , ; Sun and Zhao , ; Sun et al , , ].…”

Section: Datamentioning

confidence: 99%

Polarized reflectance factors of vegetation covers from laboratory and field: A comparison with modeled results

Sun

et al. 2017

JGR Atmospheres

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Light scattered from surfaces is partly polarized, which has implications for remote sensing of vegetation. To study the contribution of polarized light to multiangular reflectance over vegetation covers, we produced a hyperspectral bidirectional polarized reflectance data set for four types of vegetation cover acquired over a wide‐viewing range in the laboratory and field. The data sets were analyzed with respect to basic physical polarized reflectance mechanisms. Moreover, we compared the modeled polarization from five existing polarimetric models (1‐D) with our measured polarization of vegetation covers at selected wavelengths. The analyses indicated that our measured polarized reflectance factors of a special vegetation cover, in which the leaves of vegetation were horizontally oriented, were much greater than previous results. All of the models produced good fits to the measurements, except for the special vegetation cover, which leaded to markedly different distribution patterns for the five models. We also found that the maximum relative difference between modeled and measured polarization was in the backward scattering direction near the principal plane. These results suggested that we can model the polarization accurately by using the existing polarimetric models in visible and near‐infrared bands; more measurements should be performed in the laboratory and the field to illustrate the inherent polarization property of vegetation covers and to avoid underestimating the contribution of vegetation covers on the polarization of atmosphere in the polarized remote sensing study. Our study not only deepens our understanding of the scattering properties of vegetation covers but also provides the polarization properties of vegetated surfaces for the study of atmosphere polarization.

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