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利用植被反射光譜特徵估測盤固草之化學組成分

Estimation of Chemical Components of Pangolagrass Forage from Canopy Spectral Characteristics

摘要


Ground-based remotely sensed canopy spectral data of hyperspectral resolution were acquired at the experimental field of Taiwan Livestock Research Institute, Hsinhua, to study the spectral characteristics of pangolagrass (Digitaria decumbens Stent) in associated with chemical components (crude protein, acid detergent fiber and neutral detergent fiber). From the results of correlation intensity analyses, there were varied correlation coefficients between spectral reflectance and content of chemical components along the measured wavelength domain (350-2500nm). In general, reflectance of wavelengths greater than 740nm in the infrared region had higher correlation with chemical components. Eight wavebands in the infrared were selected for each component to run the multiple linear regression analyses. It indicated that contents of crude protein (CP) may be expressed as a function of reflectance at 1893, 1332, 1731 and 1837nm with coefficient of determination (R^2) of 0.293 (P<0.0001). The contents of acid detergent fiber (ADF) and neutral detergent fiber (NDF) may be expressed as functions of reflectance at 1038 and 1663nm and at 1450 and 2385nm, with R^2 of 0.484 (P<0.0001) and 0.173 (P<0.0001), respectively. It is suggested that the changes of chemical components of pangolagrass may be estimated and monitored by these regression models.

並列摘要


Ground-based remotely sensed canopy spectral data of hyperspectral resolution were acquired at the experimental field of Taiwan Livestock Research Institute, Hsinhua, to study the spectral characteristics of pangolagrass (Digitaria decumbens Stent) in associated with chemical components (crude protein, acid detergent fiber and neutral detergent fiber). From the results of correlation intensity analyses, there were varied correlation coefficients between spectral reflectance and content of chemical components along the measured wavelength domain (350-2500nm). In general, reflectance of wavelengths greater than 740nm in the infrared region had higher correlation with chemical components. Eight wavebands in the infrared were selected for each component to run the multiple linear regression analyses. It indicated that contents of crude protein (CP) may be expressed as a function of reflectance at 1893, 1332, 1731 and 1837nm with coefficient of determination (R^2) of 0.293 (P<0.0001). The contents of acid detergent fiber (ADF) and neutral detergent fiber (NDF) may be expressed as functions of reflectance at 1038 and 1663nm and at 1450 and 2385nm, with R^2 of 0.484 (P<0.0001) and 0.173 (P<0.0001), respectively. It is suggested that the changes of chemical components of pangolagrass may be estimated and monitored by these regression models.

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