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利用遥感、土壤光谱及土壤盐分数据相结合的方法进行土壤盐渍化监测,选择2组不同特征的变量,对渭干河-库车河三角洲绿洲土壤盐渍化的现状特征进行了探讨,并计算了14个盐分因子与光谱波段(405 nm,410 nm,…,890 nm)的Pearson相关系数.结果发现,除少数光谱波段外,盐分因子与光谱波段之间的相关性并不显著.在此基础上,利用后向多元线性回归分析,建立了部分盐分因子的预测模型,并对pH模型的精度进行了验证.最后在野外考察,GPS定点和土壤采样分析的基础上,给出了土壤盐渍化程度及其分布范围.
Soil salinization was monitored by a combination of remote sensing, soil spectra and soil salinity data. Two groups of variables with different characteristics were selected to investigate the status quo of soil salinization in the oasis of Weigan-Kuqa River Delta The Pearson correlation coefficients of 14 salinity factors and spectral bands (405 nm, 410 nm, ..., 890 nm) were calculated and found that the correlation between the salinity factor and the spectral bands was insignificant except for a few spectral bands. Based on the above analysis, the prediction model of some salt factors was established and the accuracy of the pH model was validated by backward multiple linear regression analysis.Finally, based on the field investigation, GPS fixed point and soil sampling analysis, Salinization degree and its distribution range.