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• W4366818946 abstract "Estimating the fraction of photosynthetically active radiation (PAR) interception (FIPAR) precisely is critical for monitoring crop eco-physiological status. However, few studies have concentrated on estimating FIPAR using hyperspectral technology, especially for quantifying the FIPAR of different vertical layers within the wheat canopy. The objective of this study was to explore an effective method for determining the FIPAR of the wheat canopy and different vertical layers based on hyperspectral data. A two-year field experiment including various plant densities and nitrogen rates was conducted to investigate the vertical light distribution (VLD) information characteristics in the wheat canopy, the relationship between the FIPAR of the entire canopy (FIPARcanopy) and that of vertical layers (FIPARLi, L1-L3, vertical layer 1–3 from the top to the bottom of the canopy), and the relationship between different vegetation indices (VIs) and FIPARLi, canopy. Results indicated that PAR decreased exponentially with the decrease in relative height (R2 > 0.90), and FIPARL1 was more susceptible to nitrogen rates than FIPARL2, L3. Stable exponential relationships existed between FIPARL1, L2, u2 (u2=L1+L2) and FIPARcanopy (R2 = 0.75–0.95), while a significant quadratic relationship was found between FIPARL3 and FIPARcanopy (R2 = 0.35). Vegetation indices (VIs) could directly estimate the FIPARcanopy using a quadratic model. FIPARcanopy estimation model performed well based on the red edge chlorophyll index, green normalized difference vegetation index, renormalized vegetation index-2, and soil adjusted vegetation index (R2 = 0.72–0.75 and RRMSE = 15.50–16.07%). Additionally, the FIPARL3 estimation model gained a higher prediction accuracy based on the integration of VIs and VLD with reduced RRMSE of 0.93–2.53% than the usage of individual VIs. Combining VLD and hyperspectral data could improve the estimation accuracy for FIPAR of the bottom layer. While the individual use of VIs is the priority choice for estimating the FIPAR of top-middle layers. These results support the rapid, accurate, and non-destructive prediction of FIPAR of different vertical layers in the wheat canopy." @default.
• W4366818946 created "2023-04-25" @default.
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• W4366818946 date "2023-06-01" @default.
• W4366818946 modified "2023-10-12" @default.
• W4366818946 title "Remotely assessing FIPAR of different vertical layers in field wheat" @default.
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• W4366818946 doi "https://doi.org/10.1016/j.fcr.2023.108932" @default.
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