内蒙古河套灌区土壤含盐量和pH高光谱反演研究  

Retrieval of Soil Salt Content and pH using Hyperspectral Remote Sensing in Inner Mongolia

作　　者：徐驰[1] 曾文治[1] 伍靖伟[1] 黄介生[1] 高鸿永 付毓[1] 

机构地区：[1]武汉大学水资源与水电工程科学国家重点实验室,武汉430072 [2]内蒙古河套灌区义长灌域管理局,内蒙古五原015100

出　　处：《灌溉排水学报》2013年第3期39-43,共5页Journal of Irrigation and Drainage

基　　金："十二五"国家科技支撑计划课题(2011BAD25B07);国家自然科学基金项目(51279142);中央高校基本科研业务费专项资金资助(2012206020206)

摘　　要：为了研究高光谱遥感在土壤含盐量和pH反演中的作用,于内蒙古河套灌区义长灌域土壤表层(0～5cm)随机采样,并对比分析3种高光谱反演土壤含盐量和pH的方法。结果表明,利用高光谱反演土壤全盐含量和pH是可行的,其中偏最小二乘法建立模型的稳定性最高(R2分别为0.957和0.987),预测能力最好(RMSE分别为0.682和0.108),而特征波段法和特征指数法的效果一般。In order to study the application of hyperspectral remote sensing in retrieval of soil salinity and pH, topsoil samples in Yichang irrigation district of Inner Mongoliawere collected randomly to analyse the inverse of soil salt content and pH from laboratory＇s hyperspectral remote sensing in three different meth- ods. The results demonstrated that the models based on partial least square method were the most stable （R2 were 0. 957 for salt content and 0. 987 for pH） and had the greatest predictive ability（RMSE were 0. 682, 0. 108 for salt and pH）, while the other two methods were not good. Inverse salinity and pH of soil by means of hyperspectral remote sensing was feasible.

关 键 词：高光谱 含盐量 PH 特征波段 特征指数 偏最小二乘 

分 类 号：S156.4[农业科学—土壤学]