2020
DOI: 10.1117/1.jrs.14.047505
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GoSPo: a goniospectropolarimeter to assess reflectance, transmittance, and surface polarization as related to leaf optical properties

Abstract: Visible-near infrared (VIS-NIR) spectral data are widely used for remotely estimating a number of crop health metrics. In general, these indices and models do not explicitly account for leaf surface characteristics, which themselves can be indicators of plant status or environmental responses. To explicitly include leaf surface characteristics, data are required linking optical properties to surface characteristics. We present the design and experimental validation of a goniospectropolarimeter (GoSPo) that com… Show more

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Cited by 4 publications
(2 citation statements)
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“…To ensure the same location on each leaf was analyzed microscopically and spectrally, the leaves were placed in a sample holder that centered the area of interest to be examined for each measurement as shown in Fig. 1 [31]. In total, 349 leaves and associated measurements were included in the dataset, representing 59 different species.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…To ensure the same location on each leaf was analyzed microscopically and spectrally, the leaves were placed in a sample holder that centered the area of interest to be examined for each measurement as shown in Fig. 1 [31]. In total, 349 leaves and associated measurements were included in the dataset, representing 59 different species.…”
Section: Methodsmentioning
confidence: 99%
“…Light that does not scatter specularly from the surface is scattered diffusely within the leaf (as reflectance or transmittance) and is depolarized. Spectral measurements were obtained between 400 and 1700 nm using the GoSPo goniospectropolarimeter [31] with illumination and sensor at Brewster's Angle (approximately 55° from nadir using a refractive index of 1.45). A wire grid polarizing filter was placed between the sample and sensor (Edmund Optics, Barrington, NJ, USA).…”
Section: Spectral Analysismentioning
confidence: 99%