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- W2393624712 abstract "Tall fescue plants(Festuca arundinacea Schreb.) under different growth conditions were used as the experiment material.Initially,spectral reflection indices of leaves and SPAD(Soil Plant Analysis Development) value were measured.Next,the relationship between SPAD value and spectral data were analyzed using multivariate statistical methods such as correlations and regressions.Finally,the relationship between the red edge parameters,vegetation index,derivative spectra extracted from spectral data and SPAD value were analyzed.Results showed that three spectral indices of the red edge position,NDVI,and the average derivative spectral data of 695~715 nm,had a favorable correlation with SPAD value and the correlation coefficients were 0.906,0.842 and 0.826.Determination coefficients of establishing linear regression model were 0.820,0.709 and 0.681,respectively.The spectral characteristics of tall fescue leaves had close correlation to pigment contents of leaves and the structure of mesophyll cells,but were independent to growth environment.SPAD value could be good inverted by red edge position,NDVI and derivative spectra.The edge position most accurately estimated SPAD value of tall fescue leaf,next was NDVI index,least is the derivative spectra index.Results provided a theoretical basis for inverting chlorophyll information of tall fescue growth period using hyperspectral remote sensing technology while analyzing photosynthesis and carbon metabolism ability." @default.
- W2393624712 created "2016-06-24" @default.
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- W2393624712 date "2012-01-01" @default.
- W2393624712 modified "2023-09-24" @default.
- W2393624712 title "Rapid Method to Estimate Tall Fescue SPAD value Using Hyperspectral Data" @default.
- W2393624712 hasPublicationYear "2012" @default.
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