关键词: 新疆, 绿洲土壤, 电导率, pH值, 光谱

Abstract:

The soil physical and chemical properties, which are extremely influenced by irrigation, have impacts on the quality of soil, and determine the crop yields directly. There is a large drought agricultural region in Xinjiang, so, to study the soil physical and chemical properties is essential. The author selected a delta oasis between the Ugan River and the Kuqa River as objects. The aim of this study was how to use spectral of soil to obtain the properties of soil rapidly and efficiently. Firstly, we transformed the spectral reflectance to 18 kinds of forms of reflectance. Secondly, correlation analysis and multiple regression analysis were done to these kinds of reflectance and the properties of soil. Finally, we used the data to validate the predictive accuracy and determined the best prediction equations of the properties of soil. The results showed that these equations were good. The prediction equation of soil electrical conductivity was the first derivative differential form, the root mean square error was 0.184. The best prediction equation of soil pH was the second derivative differential forms of the reciprocal, the root mean square error was 0.278. It could be a feasible way to use the spectral reflectance to predict soil EC and pH. The study also provides data base for the land quality assessment and sustainable development of the soil and guides the agricultural production correctly and effectively.

Key words: Xinjiang, oasis soil, electrical conductivity, pH, spectral