Abstract
Wheat leaves were measured radiometrically in order to spectrally characterize the water deficiency symptoms. In this study, a FieldSpec-FR was used for measuring wheat leaf spectra. After the spectral analysis using a spectral normalizing technique, the spectral absorption feature parameters: wavelength position (nm), depth and area (relative value) were extracted from each wheat leaf spectrum. The relative water content (RWC) was measured for each wheat leaf sample. A linear regression analysis was conducted between the spectral absorption feature parameters and corresponding RWCs. The experimental results from 110 samples indicated that reflectance spectra of wheat leaves in the 1650-1850 nm region were dominated by water content. With a decrease in wheat leaf RWC, the 1650-1850 nm spectral absorption features gradually become obvious. The relative errors of predicted RWCs and the absolute error of predicted wavelength positions were calculated from 12 validation samples by established regression equations. The relative errors of predicted RWCs and the absolute error of predicted wavelength position (nm) were both low (<6% for RWCs by the depth and area and <12 nm for the wavelength position, respectively). Furthermore, we discuss the potential and limitations of spectroscopic determination of wheat RWC by using remote sensing technology.
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Claims 4
Claim · model-written summary
Water content dominated wheat leaf reflectance spectra in the 1650-1850 nm region.
- Taxon
- wheat
Triticum aestivume0 - Outcome
- reflectance spectra of wheat leavese0
- Qualifier
- dominated by water contente0
Not reportedDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“reflectance spectra of wheat leaves in the 1650-1850 nm region were dominated by water content.”
Claim · model-written summary
The 1650-1850 nm absorption features became more obvious as wheat leaf relative water content fell.
- Taxon
- wheatTriticum aestivume0
- Organ / stage
- leafe0
- Outcome
- 1650-1850 nm spectral absorption featurese0
- Direction
- become obviouse0
- Qualifier
- decrease in wheat leaf RWCe0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“With a decrease in wheat leaf RWC, the 1650-1850 nm spectral absorption features gradually become obvious.”
Claim · model-written summary
Depth and area features predicted wheat leaf relative water content with relative errors below 6%.
- Taxon
- wheatTriticum aestivumt0
- Outcome
- relative errors of predicted RWCse0
- Direction
- lowe0
- Value
- <6%e0
- Qualifier
- by the depth and areae0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“The relative errors of predicted RWCs and the absolute error of predicted wavelength position (nm) were both low (<6% for RWCs by the depth and area and <12 nm for the wavelength position, respectively).”
t0“wheat”
Claim · model-written summary
Predicted wavelength positions had absolute errors below 12 nm.
- Taxon
- wheatTriticum aestivumt0
- Outcome
- absolute error of predicted wavelength position (nm)e0
- Direction
- lowe0
- Value
- <12 nme0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“The relative errors of predicted RWCs and the absolute error of predicted wavelength position (nm) were both low (<6% for RWCs by the depth and area and <12 nm for the wavelength position, respectively).”
t0“wheat”