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Hyperspectral and directional remote sensing measurements of rice canopies for estimation of plant growth variables

机译:水稻冠层的高光谱和定向遥感测量,用于估计植物生长变量

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An AOTF (Acousto-Optic Tunable Filter)-based spectral imager for field use was developed for hyperspectral measurement of plant reflectance. Hyperspectral imagery in a region between 450 nm-900 nm was obtained at 3 to 5 nm resolution. Spectral wavelengths and interval were both programmable by PC control. Regression trial for rice canopies suggested that the leaf nitrogen and chlorophyll contents would be estimated by high-resolution measurements in visible and near infrared region. The directional multispectral measurements in visible, near-, and shortwave- infrared regions were obtained for rice canopies and used for inversion of bi-directional reflectance models. Results suggested that physically based directional model would be used for directional correction and for estimation of eco-physiological variables of rice canopies although they seemed less accurate in red region under sparse condition.
机译:开发了一种基于AOTF(声光可调滤光片)的光谱成像仪,用于野外使用,用于植物反射率的高光谱测量。以3至5 nm的分辨率获得了450 nm至900 nm之间区域的高光谱图像。光谱波长和间隔都可以通过PC控制进行编程。水稻冠层的回归试验表明,叶氮和叶绿素含量将通过在可见光和近红外区域的高分辨率测量来估算。获得了水稻冠层在可见,近波和短波红外区域的定向多光谱测量结果,并将其用于双向反射模型的反演。结果表明,基于物理的方向模型将用于水稻冠层的方向校正和生态生理变量的估计,尽管在稀疏条件下红色区域似乎不太准确。

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