连续统势去除反射光谱特征估算水稻冠层氮营养

Jinheng Zhang
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引用次数: 4

摘要

建立了一种利用冠层连续去除反射率估算水稻氮素营养的方法。在分蘖期、拔节期、孕穗期和抽穗期对冠层叶片进行取样,测定氮浓度和冠层反射率。连续去除反射率(550nm ~ 750nm)随氮含量的增加而降低。计算了水稻冠层连续去除反射光谱的几个特征,包括连续去除反射率值、连续去除吸收特征的最小值、对称性、吸收峰总面积和吸收峰的剩余面积。连续去除反射率的光谱特征与冠层叶片氮浓度呈高度相关。采用线性回归模型预测氮浓度。结果表明,吸收峰面积是整个生长周期氮素水平的最佳预测因子。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Potential of continuum removed reflectance spectral features estimating nitrogen nutrition in rice canopy level
A method was developed for estimating the nitrogen nutrition of rice (Oryza sativa) using canopy continuum-removed reflectance. The canopy leaves were sampled during important growth stages (tiller stage, jointing stage, booting stage and heading stage), and nitrogen concentrations and canopy reflectance were measured. The value of the continuum-removed reflectance (550nm–750nm) decreased with the nitrogen levels increased. Several characteristics of the continuum-removed reflectance spectra of rice canopy were calculated, including the continuum-removed reflectance value, the minimum of the continuum-removed absorption features, symmetry, total area of absorption peak and left area of the absorption peak. High correlations were found between the spectral characteristics of the continuum-removed reflectance and canopy leaves nitrogen concentrations. Linear regressions models were used to predicte nitrogen concentration. Results of this research showed that total area of absorption peak was the best predictor of nitrogen levels throughout growth cycle.
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