| 環境ストレスを受けた植物葉水分状態の分光反射スペクトルによる評価. Estimation of Plant Leaves Water Status under Environmental Stresses Based on Spectral Reflectance Characteristics | |||||||||||
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| 研究概要:In this study, we dealt with the relationships between water status parameters of plant leaves and characteristic spectral reflectance (R_λ) as well as reflectance ratio (R_λ/R_, R_λ/R_, R_λ/R_, R_λ/R_, R_λ/R_) based on the experimental results of soybean (Glycine max Merr.), maize (Zea mays L.), yellow poplar (Liriodendron tulipifera) and viburnum (Viburnum awabuki) plants. The water status parameters include leaf water content per unit leaf area (LWC), specific leaf water content (SWC), leaf moisture percentage on fresh weight (LMP), relative leaf water content (RWC) and relative leaf moisture percentage on fresh weight basis (RMP). Furthermore, effective spectral reflectance and reflectance ratio were identified for estimating the LWC, SWC, LMP, RWC and RMP. Using these spectral indices, we discussed the modeling approaches to estimating LWC, RWC and RMP, and eventually presented a universal model for estimating the leaf moisture condition of both grass and woody plants as mentioned above. Moreover, these experimental formulas could be used to estimate the leaf moisture conditions of the soybean under nutrition and water stresses, but satisfactory results were not reached for the case of maize. For the reason, it was judged to be that the influence of maize leaf vein resulted in the measurement errors for spectral reflectance and leaf moisture conditions. About this further examination, however, remains to be made. | |||||||||||
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