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导致干旱区土地荒漠化的主要问题之一是土壤盐渍化,该文以渭干河-库车河三角洲绿洲为例,主要以植被和土壤信息,构建盐渍化遥感信息提取模型。在综合分析盐分指数(SI)与归一化植被指数(NDVI)二者间关系的基础上,提了NDVI-SI特征空间概念,最终构建土壤盐渍化遥感检测指数模型(SDI)。经模型验证及分析表明,SDI能够很好地区分研究区内土壤盐渍化程度,可以用于在区域国情监测中对土壤进行盐渍化程度的精细分类。
Soil salinization is one of the main problems leading to desertification of arid land. Taking the Weigan-Kuqa River Delta oasis as an example, the model of remote sensing information of salinization is constructed based on vegetation and soil information. Based on the comprehensive analysis of the relationship between the index of salt (SI) and normalized vegetation index (NDVI), the concept of NDVI-SI feature space was proposed and finally the index of soil salinization detection index (SDI) was constructed. The model validation and analysis showed that SDI can distinguish the degree of soil salinization in the study area well and can be used for the fine classification of soil salinization in the regional condition monitoring.