论文部分内容阅读
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。
Taking the ASTER image as the data source and the GIS (Geographic Information System) analysis method, the salinization of the Songnen Plain land was studied. First, field sampling was conducted in the study area, and the salt content of soil samples was tested in the laboratory. Then, the atmospheric correction of ASTER remote sensing image was carried out by 6S model. The correlation between reflectance and soil salinity at sampling sites In order to improve the correlation with salt content, a variety of mathematical transformations of reflectivity were carried out in this paper, and the correlation analysis was carried out with the salinity of the sampled soil. Finally, Multiple regression analysis method was established to establish a regression analysis model of soil salinity and quantitatively retrieve the salinity of the soil in the Songnen Plain. The results show that the reflectance of ASTER image can be effectively improved with the correlation coefficient of soil salinity by appropriate mathematical transformation. The coefficient of regression R2 = 0.882 established by this method can well reflect the soil salinity of Songnen Plain.