| Spectral characteristics of Takyr Solonetzs and prediction of alkalization information |
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| DOI：10.7606/j.issn.1000-7601.2013.04.035 |
| Key Words: Takyr Solonetzs characteristic reflectance alkalization information |
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| Abstract: |
| By 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. |
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