本文選題：柑橘樹 + 冠層葉密度��； 參考：《華中農(nóng)業(yè)大學(xué)學(xué)報(bào)》2017年01期

【摘要】：以地物譜儀作為核心的數(shù)據(jù)采集平臺(tái)采集光譜數(shù)據(jù)后通過計(jì)算機(jī)進(jìn)行處理擬合,利用光譜分析軟件ViewSpecPro,輔助以Excel、SPSS等數(shù)據(jù)統(tǒng)計(jì)軟件進(jìn)行光譜數(shù)據(jù)反演,探究柑橘樹冠層光譜的4種形式與葉面積指數(shù)(leaf area index,LAI)的相關(guān)性,從而利用相關(guān)性最高的光譜參數(shù)對(duì)LAI進(jìn)行定量化模擬估算和實(shí)時(shí)采集。結(jié)果表明,LAI與光譜信息系數(shù)NDVI、ρ550的反射能量、ρ850的反射能量、一階導(dǎo)數(shù)、紅邊幅值、紅邊面積等的擬合方程相關(guān)系數(shù)(R)分別為0.886、0.906、0.871、0.912、0.798、0.870,相應(yīng)方程的顯著水平P0.05。NDVI、紅邊幅值和紅邊面積與LAI都達(dá)到較高的相關(guān)水平,可以對(duì)柑橘樹冠層LAI進(jìn)行模擬估算。
[Abstract]:The spectral data are collected from the data acquisition platform with the ground object spectrometer as the core, and the spectral data are processed and fitted by the computer. The spectral analysis software ViewSpecProand is used to assist the spectral data retrieval with the data statistic software such as Excel SPSS. The correlation between the four forms of citrus canopy spectrum and the leaf area index (leaf area index Lai) was investigated, and the quantitative simulation and real-time acquisition of Lai were carried out by using the spectral parameters with the highest correlation. The results show that the reflectance of Lai and spectral information coefficient NDVI, 蟻 550, the reflection energy of 蟻 850, the first derivative, the amplitude of red edge, The correlation coefficient (R) of the fitting equation for the red edge area was 0.886 / 0.906 / 0.871/ 0.912 / 0.798/ 0.870, respectively. The significant level of the equation was P0.05.NDVI, the amplitude of the red edge and the area of the red edge reached a higher level of correlation with Lai. The Lai of the canopy layer of citrus trees could be simulated and estimated.
【作者單位】： 華南農(nóng)業(yè)大學(xué)南方農(nóng)業(yè)機(jī)械與裝備關(guān)鍵技術(shù)教育部重點(diǎn)實(shí)驗(yàn)室/國(guó)家柑橘產(chǎn)業(yè)技術(shù)體系機(jī)械研究室/廣東省山地果園機(jī)械創(chuàng)新工程技術(shù)研究中心;華南農(nóng)業(yè)大學(xué)工程學(xué)院;
【基金】：國(guó)家自然科學(xué)基金項(xiàng)目(30871450) 現(xiàn)代農(nóng)業(yè)產(chǎn)業(yè)技術(shù)體系建設(shè)專項(xiàng)(CARS-27) 廣東省自然科學(xué)基金項(xiàng)目(2015A030313426)
【分類號(hào)】：S666;S127

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