Semi-automatic laboratory goniospectrometer system for performing multi-angular reflectance and polarization measurements for natural surfaces

Sun, Zhongqiu; Wu, Zhensen; Zhao, Yunsheng

doi:10.1063/1.4862814

Cited by 44 publications

(17 citation statements)

References 64 publications

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“…A detailed description of the laboratory measurement system was given by Sun et al . (). The basic NENULGS configuration consists of a goniometer, artificial illumination and an Analytical Spectral Devices FieldSpec 3 (ASD FS3, Colorado, USA) spectroradiometer.…”

Section: Methodsmentioning

confidence: 97%

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Multi‐angular spectral reflectance to characterize the particle size of surfaces of desert and cultivated soil

Sun

2016

European J Soil Science

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This research examines the distribution of bi‐conical reflectance of particulate surfaces with different particle sizes by multi‐angular reflectance. Two types of particulate samples (called desert and cultivated soil) were sieved to a particle size range of 0.15–0.9 mm. The reflectance factors were measured at 570 or 330 different viewing positions for each illumination angle (45° and 60°). The reflectance was strongly non‐Lambertian for all samples, but with markedly different patterns for the two types of particulate surface. Particle size was correlated with the bi‐conical reflectance factor (BCRF) and anisotropic reflectance factor (ARF), respectively. The results showed a strong relation between BCRF and particle size in all viewing directions, except for the backward scattering direction, with an average R2 value of 0.9. The use of ARF improved the relation with particle size more in the backward scattering direction in the principal plane than with BCRF (R2 = 0.7 for BCRF; R2 = 0.91 for ARF). However, the strong relation between the ARF and particle size was limited in the forward and backward scattering directions, with an average R2 value of 0.86. The results showed the considerable potential of multi‐angular reflectance for quantitative evaluation of the particle size of particulate surfaces. This approach appears to provide a promising empirical and theoretical basis for the future retrieval of soil particle size. Highlights: The aim is to estimate the particle size from the reflectance of soil samples. Analysis of the relation between particle size and reflectance with multi‐angular data. There was a strong relation between reflectance and particle size in 2π space. Multi‐angular reflectance has the potential to evaluate quantitatively the particle size of soil.

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Section: Methodsmentioning

confidence: 97%

“…In this study we used the Northeast Normal University Laboratory Goniospectrometer System (NENULGS) (Sun et al , ) to measure surface reflectance of the desert and cultivated soil. A detailed description of the laboratory measurement system was given by Sun et al .…”

Section: Methodsmentioning

confidence: 99%

Multi‐angular spectral reflectance to characterize the particle size of surfaces of desert and cultivated soil

Sun

2016

European J Soil Science

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“…The NENULGS has been used to detect phase spectral curves of reflectance and degree of linear polarization of snow, soil and ice when the incident light is unpolarized [49][50][51]. A detailed description of the laboratory measurement system is given in [35]. The basic NENULGS configuration consists of a goniometer, an artificial illumination, and an Analytical Spectral Devices FieldSpec 3 (ASD FS3) spectroradiometer, we briefly introduce every part of the NENULGS.…”

Section: Measurements Instrumentsmentioning

confidence: 99%

“…Goniospectrometer System (NENULGS) [35] to perform the measurements of the reflectance of sand and soil surfaces. The NENULGS has been used to detect phase spectral curves of reflectance and degree of linear polarization of snow, soil and ice when the incident light is unpolarized [49][50][51].…”

Section: Measurements Instrumentsmentioning

confidence: 99%

“…So far, a number of experiments have been undertaken on the connection between details of the bidirectional reflectance and physical properties of particulate surfaces in laboratory [22,24,25,[30][31][32][33][34]71]. The primary objective of the present study is to assess the bidirectional reflectance models from an experimental opinion basing on the laboratory measurements, which are performed using the NENULGS (Northeast Normal University Laboratory Goniospectrometer System) [35]. The relationship between the parameters of models and the particulate surfaces' property is the main study content.…”

Section: Introductionmentioning

confidence: 99%

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

Sun

2015

Journal of Quantitative Spectroscopy and Radiative Transfer

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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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Semi-automatic laboratory goniospectrometer system for performing multi-angular reflectance and polarization measurements for natural surfaces

Cited by 44 publications

References 64 publications

Multi‐angular spectral reflectance to characterize the particle size of surfaces of desert and cultivated soil

Multi‐angular spectral reflectance to characterize the particle size of surfaces of desert and cultivated soil

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

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

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