玛纳斯河流域绿洲农田土壤盐分反演及空间分布特征

土壤盐分的准确监测是干旱、半干旱地区农业可持续发展的前提,气候变化、不合理灌溉等因素使土壤盐渍化问题逐渐显现.文中以新疆玛纳斯河流域为例,采用多光谱遥感影像和野外实测土壤盐分数据相结合的方法,选取对土壤盐渍化影响较大的归一化差异水体指数及其它具有代表性的多光谱遥感指数与土壤盐分构建反演模型,探讨研究区内土壤盐渍化的空间...

Soil salinity retrieval and spatial distribution of oasis farmland in Manasi river basin

Accurate detection of soil salinization is the prerequisite for sustainable agricultural development in arid and semi-arid regions.In recent years,the continuous changes in factors such as meteorology and irrigation have caused the secondary salinization of soil.Taking the Manasi river basin in Xinjiang for example,based on Landsat 8 OLI multispectral remote sensing image,taking the salt content of 100 soil samples in the whole watershed as the data source,a combined method of multi-spectral remote sensing image and measured soil salinity data was used in this study.The normalized differential water body index and other representative multi-spectral remote sensing indexes were selected to construct a remote sensing inversion model.Result showed that the soil salinity of Manasi river basin is mainly moderate and severe.Among them,the degree of salinization in Shihezi Irrigation District is the most serious,and the degree of salinization in Mosuowan Irrigation District is relatively light,which is consistent with the field survey results.Studies have shown that the normalized differential water body index extracted from multispectral images is the basis for constructing a soil salt retrieval model,and can obtain better spatial distribution of soil salinity.The remote sensing inversion of soil salinization provides theoretical basis for soil salinization management and sustainable use of land resources in Manasi river basin,Xinjiang.