干旱区生态环境知识资源中心(Arid): 基于实测高光谱和电磁感应的绿洲土壤含水量估测

Arid

	基于实测高光谱和电磁感应的绿洲土壤含水量估测
其他题名	Estimation of soil moisture spatial distribution based on measured spectral and electromagnetic induction instruments in the arid oasis
	周倩倩 1; 丁建丽1 ; 杨爱霞 1; 宁娟 1; 谭娇 1; 杨斌 2
来源期刊	干旱区资源与环境
ISSN	1003-7578
出版年	2018
卷号	32 期号:3 页码:152-157
中文摘要	以新疆渭-库绿洲为研究区,利用电磁感应和高光谱技术并以地形因子作为辅助参量,构建土壤含水量的支持向量机回归(Support Vector Regression,SVR)预测模型,采用泛克里金法(Universal Kriging)将预测的土壤含水量进行插值在地图上实现空间可视化。结果表明: 1)表层土壤含水量与表观电导率具有良好的相关性,两种模式相结合建立的土壤含水量解译模型的拟合优度达到0.853。2)原始反射率光谱经微分变换后更能凸显出细微差异,利用原始一阶微分建立的SVR土壤含水量模型,预测集决定系数(R2)为0.913,相对分析误差(RPD)为2.06,该模型具有较高的预测精度和稳定性。3)表层含水量空间分布不均,由绿洲内部到荒漠-绿洲交错带再到荒漠呈现逐渐减少的趋势。综上所述,利用该支持向量机模型对绿洲土壤含水量的预测具有实际与理论意义。
英文摘要	In this contribution,the delta oasis between the Weigan River and the Kuqa River was selected as our study area. The Support Vector Regression (SVR) was established by using electromagnetic induction and hyperspectral techniques and topographic factors. And then the soil moistures were predicted by using Universal Kriging method to realize the data visualization. The results show that,firstly,the correlation coefficient of EM38 and soil moisture multivariate regression model reach up to 0.853; the surface water content in the oasis varies from 2.17 to 32.30(%); the value of the coefficient of variation is 56.80. Secondly, first - order differential transformation and second - order differential transformation is better than the original soil spectral reflectance. Thirdly,the support vector machine model has higher accuracy,its determination coefficient (R2) is reached up to 0.913; the ratio of performance to deviation (RPD) is 2.06. Accordingly,the support vector machine regression model can be used as a desirable monitoring model for oasis arid soli water content. It provides a new method for rapid,reliable and non - destructive estimation of arid oasis soil water content.
中文关键词	土壤含水量 ; 电磁感应 ; 高光谱 ; 地形因子
英文关键词	soil water content EM38 hyperspectral terrain factor
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:6211962
来源机构	新疆大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/237699
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, ;;绿洲生态教育部重点实验室, 乌鲁木齐;;乌鲁木齐, ;; 830046;;830046; 2.武警黄金第八支队, 乌鲁木齐, 新疆 830057, 中国
推荐引用方式 GB/T 7714	周倩倩,丁建丽,杨爱霞,等. 基于实测高光谱和电磁感应的绿洲土壤含水量估测[J]. 新疆大学,2018,32(3):152-157.
APA	周倩倩,丁建丽,杨爱霞,宁娟,谭娇,&杨斌.(2018).基于实测高光谱和电磁感应的绿洲土壤含水量估测.干旱区资源与环境,32(3),152-157.
MLA	周倩倩,et al."基于实测高光谱和电磁感应的绿洲土壤含水量估测".干旱区资源与环境 32.3(2018):152-157.