The Research of Soil Salinization Human Impact Based on Remote Sensing Classification in Oasis Irrigation Area

Abstract

Abstract This paper takes the delta oasis irrigation area of Weigan and Kuqa river as a case study, used remote sensing images in 1989,2001 and 2007, and based on Knowledge decision tree classification system, extracted the salinization informations. Human impact of soil salinization is analyzed with data from remote sensing, official data as well as fieldwork surveys and statistical analysis. The results showed that: (1) Using factorial analysis, we identified three main factors that impact soil salinization: effective irrigated areas, newly increased cultivated areas in current year and newly decreased cultivated areas in current year. (2) Using regression analysis to establish the function of human dimensions of soil salinization in the irrigation area, then it indicated that moderately and slightly salinized soil had positive correlation with effective irrigated areas and newly decreased cultivated areas in current year; and the relationship between severely salinized soil and human dimensions were not consanguineous, it indicated that severely salinized soil mainly distributed in the outline of oasis and the bottom of river's catchment area, and the development degree of severely salinized soil was low.