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干旱区土壤含水量光谱特征分析与反演

娄径 徐建辉 周燕林 王俊

安徽农业科学2016,Vol.44Issue(13):99-101,126,4.
安徽农业科学2016,Vol.44Issue(13):99-101,126,4.

干旱区土壤含水量光谱特征分析与反演

Spectral Characteristics Analysis and Inversion of Soil Water Content in Arid Area

娄径 1徐建辉 2周燕林 1王俊1

作者信息

  • 1. 安徽省经济研究院,安徽合肥230001
  • 2. 滁州学院地理信息与旅游学院,安徽滁州293000
  • 折叠

摘要

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.

关键词

干旱区/土壤含水量/高光谱/光谱特征/定量模型

Key words

Arid area/Soil water content/High spectral/Spectral characteristics/Quantitative model

分类

农业科技

引用本文复制引用

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):99-101,126,4.

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