A study of spectral-polarization characteristics of plant canopies using land-based remote sensing

Sid'ko, A. F.; Pisman, T.I.; Shevyrnogov, A.

doi:10.1016/j.jqsrt.2013.06.001

Cited by 9 publications

(3 citation statements)

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“…Research to evaluate and model polarization from plant canopies has assessed illumination angle [16] and canopy-level phenological traits such as flowering or a general glossy appearance of the leaves [17][18][19]. These studies investigated the polarization factor through a wider wavelength range and were conducted to better understand the scattering of vegetation covers but did not relate the polarization directly to the surface features at the cellular level.…”

Section: Introductionmentioning

confidence: 99%

Characterization of leaf surface phenotypes based on light interaction

Peters

Noble

2023

Plant Methods

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Background Leaf surface phenotypes can indicate plant health and relate to a plant’s adaptations to environmental stresses. Identifying these phenotypes using non-invasive techniques can assist in high-throughput phenotyping and can improve decision making in plant breeding. Identification of these surface phenotypes can also assist in stress identification. Incorporating surface phenotypes into leaf optical modelling can lead to improved biochemical parameter retrieval and species identification. Results In this paper, leaf surface phenotypes are characterized for 349 leaf samples based on polarized light reflectance measured at Brewster’s Angle, and microscopic observation. Four main leaf surface phenotypes (glossy wax, glaucous wax, high trichome density, and glabrous) were identified for the leaf samples. The microscopic and visual observations of the phenotypes were used as ground truth for comparison with the spectral classification. In addition to surface classification, the microscope images were used to assess cell size, shape, and cell cap aspect ratios; these surface attributes were not found to correlate significantly with spectral measurements obtained in this study. Using a quadratic discriminant analysis function, a series of 10,000 classifications were run with the data randomly split between training and testing datasets, with 150 and 199 samples, respectively. The average correct classification rate was 72.9% with a worst-case classification of 60.3%. Conclusions Leaf surface phenotypes were successfully correlated with spectral measurements that can be obtained remotely. Remote identification of these surface phenotypes will improve leaf optical modelling and biochemical parameter estimations. Phenotyping of leaf surfaces can inform plant breeding decisions and assist with plant health monitoring.

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Section: Introductionmentioning

confidence: 99%

Characterization of leaf surface phenotypes based on light interaction

Peters

Noble

2023

Plant Methods

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“…Vegetation indices are usually calculated by using plant reflectance at two wavelengths. Ground -based measurements are necessary for decoding and interpreting the data obtained from satellites [5].…”

Section: Introductionmentioning

confidence: 99%

Using Ground-Based Spectrometry for Operational Monitoring of Crop Yields

Shevyrnogov

Pisman

2019

Journal of Siberian Federal University. Engineering &Amp; Technologies

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The purpose of this study is to analyze the relationship between crop yields and total chlorophyll potential of different barley and oats cultivars. For this purpose, we used the spectra of grain crops obtained from ground-based remote sensing, and laboratory data. Ground-based data were obtained at the experimental fields located in the Krasnoyarskii Krai. Experiments were carried out in different seasons and under various lighting conditions. Spectral measurements were done with a double-beam spectrophotometer. It was installed on the mobile work platform at heights of 5 to 18 m. The study showed good correlation between crop yields and total chlorophyll potential for barley and oats cultivars

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“…Chlorophyll photosynthetic potential -is a difference of the reflectance factor integrals without chlorophyll absorption and with the absorption (in the 550 -730 nm wavelength range). The calculation of the chlorophyll photosynthetic potential is based on registration of the reflectance factor, ρ l crops using a PDSP double-beam spectrophotometer installed on the elevated work platform at heights of 5 to 18 m under sunny conditions [9].…”

Section: Introductionmentioning

confidence: 99%