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土壤水分、盐分时空变异强,是影响土壤光谱特征的两个重要因素。土壤水分与盐分之间的关系以及土壤水分、盐分与土壤光谱特征间的关系直接关系到利用遥感光谱信息监测土壤盐渍化的精度。该文运用多元统计学及可见光-近红外反射光谱分析方法对2010年10月渭干河-库车河三角洲绿洲盐渍土水分、盐分数据和盐渍土野外光谱数据进行分析,探讨该绿洲盐渍土表层(0～10cm)水盐信息与野外光谱特征间的关系。结果表明:1)土壤水分和土壤电导率可用Cubic曲线拟合,相关系数R=0.8503,土壤盐分和土壤电导率也可用Cubic曲线拟合,相关系数R=0.842,但土壤水分与盐分之间的显著性较弱,相关系数R=0.74。2)与原始野外光谱相比,包络线消除后光谱波段与土壤水分和土壤电导率之间的Pearson相关性都有不同程度的提高,利用包络线消除法后的波段分别建立盐渍土土壤水分、土壤电导率后向回归预测方程,为动态水盐条件下的盐渍土遥感监测提供了理论依据。
Soil moisture, salt and spatio-temporal variation is strong, is affecting soil spectral characteristics of two important factors. The relationship between soil moisture and salinity and the relationship between soil moisture, salinity and soil spectral characteristics are directly related to the use of remote sensing spectral information to monitor the accuracy of soil salinization. In this paper, we use multivariate statistics and visible-near-infrared reflectance spectroscopy to analyze the data of water and salinity of saline soil and oasis soil of the Weigan-Kuqa River Delta in October 2010, Relationship between Water and Salt Information and Field Spectral Characteristics of Soil Surface (0 ~ 10cm) in. The results showed that: 1) Cubic curve fitting could be used for soil water content and soil conductivity, the correlation coefficient R = 0.8503, soil salt content and soil electrical conductivity could also be fitted by Cubic curve with the correlation coefficient R = 0.842. However, The correlation coefficient R = 0.74.2) Compared with the original field spectrum, the Pearson correlation between the spectral bands and the soil moisture and soil electrical conductivity after the elimination of the envelope was improved to a certain extent. By using the envelope The bands after the line elimination method are respectively used to establish the regression equation of soil moisture and soil conductivity in saline soils, which provides a theoretical basis for the remote sensing monitoring of saline soils under dynamic water and salt conditions.