干旱区生态环境知识资源中心(Arid): 基于表观电导率与实测光谱的干旱区湿地土壤盐分监测

Arid

	基于表观电导率与实测光谱的干旱区湿地土壤盐分监测
其他题名	Apparent Electronic Conductivity and Measured Spectral for Monitoring Soil salt Content in Arid Lakeside Wetland
	杨爱霞 1; 丁建丽1 ; 李艳红 2; 邓凯 1; 王瑾杰 1
来源期刊	中国沙漠
ISSN	1000-694X
出版年	2016
卷号	36 期号:5 页码:1365-1373
中文摘要	以新疆艾比湖滨盐渍化土壤为对象,利用磁感应电导仪和光谱仪测得的盐渍土表观电导率和可见光/近红外光谱数据,选取与EM38解译的土壤盐分相关性最好的光谱变换形式和特征波长,分别建立多元逐步回归、偏最小二乘回归和支持向量回归的土壤盐分监测模型。结果表明:(1)表观电导率两种模式相结合建立的盐分含量解译模型的拟合优度达到0.91,即在该区域内电磁感应技术可用于土壤盐分含量的间接监测。(2)一阶微分处理优于二阶微分,经一阶微分变换后的光谱可以较好地预测土壤盐分含量。(3)3种建模方法中,支持向量回归的建模精度最高,偏最小二乘回归和多元逐步回归次之。干旱区湖滨湿地土壤盐分含量的估测模型宜选取基于平滑后的原始一阶微分光谱数据建立的支持向量回归模型。
英文摘要	This paper selected the Ebinur Lake as a study area and established multivariate stepwise regression, partial least square regression and support vector machine regression model based on the site measured data of apparent electronic conductivity and spectral with EM38 and ASD Fieldspec HH.In the three models,the apparent electronic conductivity measured with EM38 selected as independent variable and the measured soil soluble salt content as a dependent variable,and the selected spectral transformation form and characteristic bands have best correlation with the interpreted soil salinity data from EM38 used for model establishment. Results show that,firstly,the correlation coefficient of multivariate regression model reached up to 0.91, and indicated electromagnetic induction technology can be used for the indirect monitoring of soil salinity in this area;secondly,first-order differential transformation is better than the second-order differential transformation, the spectrum transformed with first-order differential can better predict soil salinity;thirdly,the spectrum transformed with first-order differential has good performance in all the three established models, and the model with support vector machine has higher accuracy than the partial least square and multivariate stepwise regression models.Accordingly,the support vector machine regression model established with first order differentiation transformation can be used for as a desirable monitoring model for arid lakeside wetland soil salinization.
中文关键词	盐渍化 ; 电磁感应技术 ; 可见光/近红外土壤光谱 ; 监测模型
英文关键词	soil salinization electromagnetic induction technology measured soil spectral
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:5872135
来源机构	新疆师范大学 ; 新疆大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/235450
作者单位	1.新疆大学资源与环境科学学院, 绿洲生态教育部重点实验室, 乌鲁木齐, 新疆 830046, 中国; 2.新疆师范大学地理科学与旅游学院, 新疆干旱区湖泊环境与资源重点实验室, 乌鲁木齐, 新疆 830054, 中国
推荐引用方式 GB/T 7714	杨爱霞,丁建丽,李艳红,等. 基于表观电导率与实测光谱的干旱区湿地土壤盐分监测[J]. 新疆师范大学, 新疆大学,2016,36(5):1365-1373.
APA	杨爱霞,丁建丽,李艳红,邓凯,&王瑾杰.(2016).基于表观电导率与实测光谱的干旱区湿地土壤盐分监测.中国沙漠,36(5),1365-1373.
MLA	杨爱霞,et al."基于表观电导率与实测光谱的干旱区湿地土壤盐分监测".中国沙漠 36.5(2016):1365-1373.