2025年 03期

Remote Sensing Inversion and Spatial Distribution Characteristics of Soil Salinity in the Yellow River Irrigation Area of the Yellow River Delta


摘要(Abstract):

为了准确掌握黄河三角洲引黄灌区土壤盐分空间分布特征,以山东省东营市垦东灌区为研究区,基于野外实地调查的土壤盐分数据以及哨兵-2B卫星多光谱遥感数据,利用地理探测器选取对土壤盐分解释力较强的光谱指数,采用偏最小二乘法构建土壤盐分遥感反演模型,并探讨土壤盐分的空间分布特征。结果表明:对土壤盐分解释力较高(q>0.05)且达到极显著水平(p值小于0.01)的最优光谱指数是可见-红外盐分指数、扩展差值植被指数、归一化差异水体指数、非线性指数、 S6盐分指数、亮度指数、卫星B8A波段的反射率、 INT2盐分指数、优化土壤调整植被指数、土壤调节植被指数、增强型植被指数、 SI3盐分指数、扩展比值植被指数、盐分指数、大气阻抗植被指数、 S5盐分指数;土壤盐分遥感反演模型的验证决定系数、平均相对误差分别为0.77、 0.36,模型可以较为准确地预测研究区盐渍化状况;研究区由非盐渍土、轻度盐渍土和中度盐渍土组成,其中非盐渍土中盐分质量比小于0.2 g/kg的面积占比最大,为50.43%,轻度盐渍土和中度盐渍土呈现零散分布,主要分布在非种植区,与实地调查结果一致;不同土地利用-覆被类型的土壤盐分含量均值差异明显,盐分含量均值由大到小的土地利用-覆被类型的排序为盐荒地、撂荒地-夏玉米地、林地、冬小麦-夏玉米地、水稻田。

关键词(KeyWords):土壤盐分;遥感反演;空间分布;地理探测器;黄河三角洲

基金项目(Foundation):山东省自然科学基金项目(ZR2022MD059)

作者(Author): 齐翟硕,傅新,张浩然,黄瑾,庞桂斌,徐征和

DOI: 10.13349/j.cnki.jdxbn.20240531.002

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