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AbstractBy using the typical Takyr Solonetzs in northern Yinchuan as research object, seven methods were selected to process the reflectance data of surface soil, and total regression, stepwise regression and partial least squares regression were adopted to analyze the spectral characteristics of Takyr Solonetzs, with the purpose of determining the sensitive wavelengths to pH and ESP of surface soil and establishing the prediction model of alkalization information. The results show that: the reflectance curve of Takyr Solonetzs belonged to slow-oblique type; there were significant positive correlations between the reflectance and pH as well as ESP of surface soil; the methods of reciproca l, first-order differential of reciprocal logarithmic and first-order differential of reflectance were relatively good in the characteristic wavelength range; and the relativity between reflectance to pH was higher than that to ESP. Considering both the fitting degree and the quantity of sensitive wavelengths, partial least squares regression was the best method to estimate pH and ESP of surface soil, whose fitting degree were 0.93 and 0.8367 respectively.
文章编号： 0258_7106 (2016) 01_0018_15 中图分类号： P618.41 文献标志码：A
**通讯作者耿新霞， 女， 1979年生， 助理研究员， 成矿规律研究方向。 Email： gen firstname.lastname@example.org
JIA Ke-li, ZHANG Jun-hua, QIN Jun-qin.Spectral characteristics of Takyr Solonetzs and prediction of alkalization information[J].杂志名称,2013,(4):187-192