Position: Home > Articles > Research on Soil Salinization in Songnen Plain
Journal of Jilin Agricultural University
2014,36
(3)
333-337
松嫩平原土地盐碱化研究
作 者：
马驰
单 位：
辽宁省交通高等专科学校
关键词：
空间热辐射反射测量仪影像;地理信息系统;盐碱土;多元回归分析;判定系数
摘 要：
以空间热辐射反射测量仪(ASTER)影像为数据源,利用地理信息系统(GIS)分析方法,对松嫩平原土地盐碱化进行研究。首先对研究区进行野外采样,并在实验室化验土样含盐量;再利用6S模型对ASTER遥感影像进行大气校正,并将每个波段的反射率与采样点土壤含盐量进行单相关统计分析,以获得盐碱土在ASTER影像中的特征波段;为了提高与含盐量的相关性,文中将反射率进行多种数学变换,并与采样土壤的含盐量进行相关性统计分析;最后利用多元回归分析方法,建立土壤含盐量的回归分析模型,定量反演松嫩平原土壤的含盐量。结果表明:ASTER影像的反射率经过适当的数学变换可以有效提高与土壤含盐量的相关系数,所建立的多元回归模型判定系数R2=0.882,能够很好反演松嫩平原土壤盐分含量。
译 名：
Research on Soil Salinization in Songnen Plain
作 者：
MA Chi;Liaoning College of Communications;
关键词：
ASTER remote image;;GIS;;saline-alkali soil;;multiple regression analysis;;determination coefficient
摘 要：
This paper studies soil salinization on Songnen plain,using ASTER image as data source and by the analysis method of GIS.First of all,field sampling from the study area is performed and soil salinity is tested in the laboratory.Then 6S model is employed to correct the atmosphere of ASTER remote sensing image.Single correlation between the reflectance of each band and soil salinity from the sampling site is statistically analyzed to obtain band characteristics of saline-alkali soil in the ASTER image.In order to improve the relevance to soil salinity,a variety of mathematical manipulation is employed for reflectance and the statistical correlation analysis is made.Finally,with the method of multiple regression analysis,regression analysis model of soil salinity is established to quantitatively invert soil salinity on Songnen plain.The results show that the reflectance of ASTER image can effectively increase the correlation coefficient of soil salinity after a proper mathematical transformation.Determination coefficient R2of the multiple regression model reaches 0.882 so as to well invert soil salinity on Songnen plain.
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