中国水土保持科学2017，Vol.15Issue(1)：8-14,7.DOI:10.16843/j.sswc.2017.01.002
艾比湖流域盐渍土含水量光谱特征分析与建模
Modeling and analysis of spectral characteristic of soil water content in the salinized soil of Ebinur Lake Watershed
摘要
Abstract
[Background] With the development of spatial information science,the hyperspectral remote sensing becomes more and more important in nowadays.Studying on spectral characteristic of soil water content is an important work,for it is the base of monitoring remote sensing.This study aims to investigate the spectral characteristic of soil water content and the relationship between the hyperspectral data and the soil water content,to explore a rapid and accurate method for estimating soil water contents,and to establish the hyperspectral remote sensing monitoring model for saline soil water in the arid area of the Ebinur Lake Watershed.[Methods] This study took saline soil with different water contents in Ebinur Lake Watershed as the research object,used the spectral reflectance transformation and multivariate statistical analysis methods (MSAM) to analyze the spectral characteristic of soil water content,and built models.[Results] The result showed that with the increase of soil water content,the reflectance of soil declined.In a certain range,the longer the wavelength,the higher the correlation between the soil spectral reflectance and soil water content;the soil spectral reflectance at the wavelength of 1 937 nm (r =-0.636) had the highest correlation with water content.After 8 transformation of soil spectral reflectance,the correlation of logarithmic first order differential sensitive band of 2 357 nm was the best (r =-0.808 6).Subsequently,MSAM were applied to analyze the correlation between spectrum and salinized soil with different water contents,then the spectral sensitive band of the soil was screened,and the correlation model was established.The result indicated that the model set up by Logarithm First Order Differential at the wavelength of 2 024 nm and 2 357 nm and the Root Mean Square First Order Differential at the wavelength of 1 972 nm and 2 357 nm was the best,the correlation coefficient r was 0.894 and 0.865 respectively.Based on the above established models,the authors constructed a new model,and the correlation r of which was 0.926,increased 0.032 against the Logarithm First Order Differential model,and increased 0.061 compared to the Root Mean Square First Order Differential model.[Conclusions] Therefore,the estimation model of soil water content is feasible.In addition,this study provides a new model for the indoor hyperspectral estimation of soil water content in Ebinur Lake Watershed,and it also provides a theoretical and technical reference for the hyperspectral quantitative estimation of soil water content,which has certain guiding significance for hyperspectral remote sensing.关键词
光谱特征/含水量/模型/艾比湖流域Key words
spectrum characteristic/water content/modeling/Ebinur Lake Watershed分类
数理科学引用本文复制引用
张海威,张飞,李哲,井云清..艾比湖流域盐渍土含水量光谱特征分析与建模[J].中国水土保持科学,2017,15(1):8-14,7.基金项目
国家自然科学基金“新疆联合基金本地优秀青年人才培养专项”(U1503302) （U1503302）
