灰漠土土壤全氮含量的高光谱特征分析及估测

发布时间：2018-10-18 18:53

【摘要】：【目的】研究传统土壤全氮含量测定方法,解决复杂、耗时、耗力等问题。【方法】以新疆干旱区灰漠土为研究对象,运用经典统计学和光谱学相结合的方法,研究灰漠土土壤全氮含量的光谱反射特性,通过对原始光谱的数据变换和相关性分析,构建了土壤全氮含量的高光谱估测模型,并对模型进行对比和验证。【结果】土壤中全氮含量不同光谱反射特性趋势相近,土壤的光谱反射率在780、1 800和2 140 nm波长附近出现波峰,在1 910 nm附近有明显的波谷,土壤全氮含量与原始光谱反射率相关性较差。通过一阶微分处理后的光谱数据与全氮含量的相关性显著优于原始光谱和二阶微分处理,最大相关系数为0.819,达到极显著相关;利用一阶微分变换从中提取特征波段667和1 414 nm,建立土壤全氮含量的估测模型:Y=2 698.048 X667-1062.149 X1414-0.015,R2为0.75,对估测模型进行验证发现,R2为0.80,当全氮含量过大或过小时,模型估测偏差相对较大,总体预测精度较高。【结论】高光谱分析技术对土壤全氮含量的预测具有一定的意义,利用估测模型可以快速鉴定土壤全氮含量。
[Abstract]:[objective] to study the traditional methods for the determination of total nitrogen in soil, and to solve the complex, time-consuming and labor-consuming problems. [methods] the grey desert soil in arid area of Xinjiang was used as the research object, and the combination of classical statistics and spectroscopy was used. The spectral reflectance characteristics of soil total nitrogen content in grey desert soil were studied. The hyperspectral estimation model of soil total nitrogen content was established through the data transformation and correlation analysis of the original spectrum. The model was compared and verified. [results] the trend of different spectral reflectance characteristics of soil total nitrogen content was similar, and the spectral reflectance of soil appeared wave peaks near the wavelength of 780,1800 and 2140 nm, and obvious troughs near the wavelength of 1,910 nm. The correlation between soil total nitrogen content and original spectral reflectance was poor. The correlation between the first order differential treatment and the total nitrogen content was significantly better than that of the original spectrum and the second order differential treatment, and the maximum correlation coefficient was 0.819, which was extremely significant. The estimation model of soil total nitrogen content was established by using the first order differential transform to extract characteristic bands 667,1 414 nm,. The results showed that the estimated R2 was 0.75. The result showed that R2 was 0.80. When the total nitrogen content was too large or too small, the estimation deviation of the model was relatively large. [conclusion] the high spectral analysis technique has certain significance in predicting soil total nitrogen content, and the estimation model can be used to quickly identify soil total nitrogen content.
【作者单位】：石河子大学农业资源与环境系;
【基金】：国际科技合作项目(2015DFA11660) 国家大学生创新创业训练计划项目(201610759002) 石河子大学校级项目(RCZX201522,SRP2016012) Fund project:gray desert soil;total nitrogen content;hyperspectral inversion
【分类号】：S153.6

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