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以新疆绿洲玛纳斯地区典型盐渍土为研究对象,运用统计学和可见光—近红外光谱分析方法对不同水分含量盐渍化土壤进行野外和室内测定,探讨了盐渍化土壤的反射光谱特征与土壤含水量的关系。试验结果表明:盐渍土原始光谱反射率与土壤水分含量变化相关性不高,通过对原始光谱反射率的一阶微分、连续统去除处理后与含水量的相关性显著增强,试验得出盐渍化土壤水分含量变化敏感的特征波段为:450 nm、1320 nm、1416 nm、1650 nm、1810 nm、1910 nm、2110nm、2202 nm附近;经检验得出盐渍土含水量的多元线性回归预测模型为y=1.436 x1416 nm-1.4416 x1810 nm-1.152 x1910 nm+0.934 x2202 nm+0.138(R2=0.990*,P=0.019),研究为水盐动态条件下的盐渍化土壤大面积遥感监测提供理论依据。
Taking typical saline soil of Manas region in oasis in Xinjiang as the research object, using the methods of statistics and visible-near-infrared spectroscopy to determine the salinized soil with different moisture content, the characteristics of the reflectance spectrum And soil moisture content. The results show that the correlation between the original spectral reflectance of saline soil and the change of soil moisture content is not high. The correlation between the original spectral reflectance and the water content is significantly enhanced by the first-order differential of the original spectral reflectance, and the salt The characteristic bands sensitive to the change of soil moisture content in the soil were 450 nm, 1320 nm, 1416 nm, 1650 nm, 1810 nm, 1910 nm, 2110 nm and 2202 nm, respectively. Multiple linear regression predictions The model is y = 1.436 x1416 nm-1.4416 x1810 nm-1.152 x1910 nm + 0.934 x2202 nm + 0.138 (R2 = 0.990 *, P = 0.019). The study provides a theoretical basis for the large-scale remote sensing monitoring of salinized soils under the condition of water and salt dynamics in accordance with.