基于高光谱的土壤全氮含量估测  

Predicting of Soil Total Nitrogen Content Based on Hyperspectral Data

作　　者：张强[1] 张国龙[1] 张泽[1] 吕新[1] 

机构地区：[1]石河子大学农学院,新疆石河子832003

出　　处：《山西农业科学》2016年第7期972-976,共5页Journal of Shanxi Agricultural Sciences

基　　金：国家高技术研究发展计划项目(2012AA101902);国际科技合作项目(2015DFA11660);校级项目(RCZX201522)

摘　　要：针对不同土壤特性的光谱相关分析,研究其与土壤全氮含量之间的关系,筛选出可以预测土壤全氮含量的最佳光谱特征参量,并构建相关估算模型。研究表明,土壤光谱反射率与土壤全氮含量之间呈较好的相关性。其中,全氮含量与土壤原始光谱反射率在1 867 nm处呈极显著负相关,相关系数达到-0.939 2;基于NDI预测土壤全氮含量的估算模型中,以指数函数关系模型(yTN=0.000 5e^(4.700 3)xNDI,R^2=0.798 2)为预测土壤全氮含量的最优模型,基于归一化光谱指数NDI在预测土壤全氮含量时表现出较好的效果。According to spectral correlation analysis of different soil characteristics, the paper studied the relationship between spectra of different soil characteristics and soil total nitrogen content, selected the optimum parameters of spectral characteristics for predicting the total nitrogen content in soil, and built the relevant predicting model. The results showed that there was a good correlation between soil spectral reflectance and soil total nitrogen content. Among them, the total nitrogen content and original soil spectral reflectance were very significant negative correlation at 1 867 nm, the correlation coefficient reached- 0.939 2. Predicting model based on NDI to predict soil total nitrogen content, the index function relation model（yTN=0.000 5e^（4.700 3）xNDI, R^2=0.798 2）was the optimal model predict the soil total nitrogen content, the optimal model based on the normalized spectral index NDI in prediction of soil total nitrogen content showed a better effect.

关 键 词：高光谱 土壤 全氮 估测模型 

分 类 号：S153.61[农业科学—土壤学]