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干旱区土壤含水量光谱特征分析与反演
引用本文:娄径,徐建辉,周燕林,王俊.干旱区土壤含水量光谱特征分析与反演[J].安徽农业科学,2016,44(13).
作者姓名:娄径  徐建辉  周燕林  王俊
作者单位:安徽省经济研究院,安徽合肥,230001;滁州学院地理信息与旅游学院,安徽滁州,293000
摘    要:目的]建立土壤含水量遥感监测模型。方法]选取陕西省横山县作为研究区,以野外原位光谱测量数据和实验室内测得的土壤含水量为基础,进行高光谱数据处理,分析土壤含水量的光谱特征;对实测土壤光谱反射率进行倒数、对数、均方根及其一阶导数微分等光谱变化换,计算高光谱指数,并与土壤样本含水量进行相关性分析,筛选对土壤含水量敏感的光谱特征波段,利用多元线性回归分析建立土壤含水量监测模型。结果]随着土壤含水量的增加,土壤光谱反射率呈减小趋势。土壤含水量与光谱指数的特征波段呈良好的线性关系,所有模型均通过了0.01水平的显著性检验。模型精度验证表明,预测值与实测含水量相关系数较高,特别是反射率倒数一阶微分模型,在0.01显著性水平下,相关系数为0.886。结论]该研究建立的土壤含水量遥感反演模型可行有效,通过了有效性检验,在一定程度上可以用来反演研究区土壤含水量。

关 键 词:干旱区  土壤含水量  高光谱  光谱特征  定量模型

Spectral Characteristics Analysis and Inversion of Soil Water Content in Arid Area
Abstract: Objective] The aim was to establish soil water content remote sensing monitoring model. Method] Taking Hengshan County in Shaanxi Province as the study area, based on measured spectral data in the field and measured soil water content in the laboratory, hyperspec-tral data was processed, spectral characteristics of soil water content were analyzed;spectral transformation of reciprocal, logarithm, root mean square and reciprocal first order differential was conducted on measured soil spectral reflectivity, the correlation between hyperspectral index and soil sample water content was analyzed. The spectrum characteristic wave band for soil moisture content was screened out, soil water con-tent monitoring model was analyzed by using multiple linear regression. Result] With the increase of soil water content, the spectral reflec-tance of soil decreased. The characteristic bands of soil moisture content and spectral index showed a good linear relationship, and all the mod-els were tested by 0. 01 levels of significance. The correlation coefficient between the predicted value and the measured water content was high-er, especially for the first order differential model of the reflectivity, and the correlation coefficient was 0. 886 under the significant level of 0. 01. Conclusion] The soil moisture retrieval model established in this study is feasible and effective, and can be used to retrieve the soil moisture content in the study area to a certain extent.
Keywords:Arid area  Soil water content  High spectral  Spectral characteristics  Quantitative model
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