干旱区生态环境知识资源中心(Arid): 灰漠土土壤全氮含量的高光谱特征分析及估测

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	灰漠土土壤全氮含量的高光谱特征分析及估测
其他题名	Hyperspectral Characteristic Analysis and Estimation of Total Nitrogen Content in Grey Desert Soil
	刘凡; 马玲; 杨光; 陈建华; 马雪莲; 王海江
来源期刊	新疆农业科学
ISSN	1001-4330
出版年	2017
卷号	54 期号:1 页码:140-147
中文摘要	【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 X_(667) - 1 062.149 X_(1414) - 0.015,R~2为0.75,对估测模型进行验证发现,R~2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。
英文摘要	【Objective】To solve the traditional soil total nitrogen determination methods such as complexity,time - consuming,energy consumption and other issues.【Method】Gray desert soil in Xinjiang was taken as our research object to study the spectral reflection characteristics of different soil total nitrogen and by using classical statistical and spectroscopy method,the remote sensing inversion models of soil total nitrogen were established and validated in the study area.【Result】The results indicated that the content of total nitrogen in soil was similar to those of different spectral reflectance.The spectral reflectance of the soil appeared near 780,1, 800 and 2, 140 nm wavelength.There was obvious absorption valley in the vicinity of 1,9 10 nm and the correlation between the total nitrogen content in soil and the original spectral reflectance was poor.The determination coefficients of first - order differential processing to original spectral reflectance were higher than original spectral reflectance and second order differential,the maximum R~2 was 0.819,reaching a very significant correlation; By using the first order differential transform to extract the characteristic bands 667 and 1,414 nm,the estimation model of soil total nitrogen content was established,they were:Y = 2, 698.048 X_(667) - 1, 062.149 X_(1414) - 0.015.The R~2 was 0.75; The estimation model validation found that the R~2 was 0.80.When the total nitrogen content was too large or too small,the model estimation error was relatively large,and the overall prediction accuracy was quite high.The results has provided a theoretical basis to improve hyperspectral remote sensing monitoring accuracy of soil nitrogen.【Conclusion】High spectral analysis technique has certain significance for prediction of soil total nitrogen content and rapid identification of soil total nitrogen content by using the estimation model can be achieved.
中文关键词	灰漠土 ; 土壤全氮含量 ; 光谱反射特性 ; 高光谱估测模型
英文关键词	gray desert soil total nitrogen content hyperspectral inversion
语种	中文
国家	中国
收录类别	CSCD
WOS类目	AGRICULTURE MULTIDISCIPLINARY
WOS研究方向	Agriculture
CSCD记录号	CSCD:5920378
来源机构	石河子大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/236846
作者单位	石河子大学农业资源与环境系, 石河子, 新疆 832000, 中国
推荐引用方式 GB/T 7714	刘凡,马玲,杨光,等. 灰漠土土壤全氮含量的高光谱特征分析及估测[J]. 石河子大学,2017,54(1):140-147.
APA	刘凡,马玲,杨光,陈建华,马雪莲,&王海江.(2017).灰漠土土壤全氮含量的高光谱特征分析及估测.新疆农业科学,54(1),140-147.
MLA	刘凡,et al."灰漠土土壤全氮含量的高光谱特征分析及估测".新疆农业科学 54.1(2017):140-147.