基于高光谱遥感的土壤氯化钠含量监测

发布时间：2017-12-27 20:05

本文关键词：基于高光谱遥感的土壤氯化钠含量监测　出处：《江苏农业学报》2016年04期 　论文类型：期刊论文

【摘要】：为提高潍坊北部地区土壤氯化钠含量的监测精度,研究土壤氯化钠含量的高光谱估算方法,本研究利用光谱测量技术,以潍坊市北部海咸水入侵典型区域作为研究区,野外采集41个土壤光谱样本,并测定理化性质,对实测光谱反射率进行数学变换,与土壤样本氯化钠含量进行相关性分析,利用偏最小二乘回归分析法建立土壤氯化钠含量监测模型。研究结果表明:反射率一阶微分、二阶微分土壤氯化钠含量监测模型的决定系数均高于0.8,建模精度较高。经检验,反射率二阶微分是预测土壤氯化钠含量的最佳光谱指标,所建模型为Y=-828.278x6-635.832x7-348.817x2-583.591x9+360.329x4+1 044.751,建模决定系数为0.859,总均方根误差为0.274。说明将实测反射率光谱变换后利用偏最小二乘回归法建立的潍坊北部地区土壤氯化钠含量估算模型具有较高的可行性,能够较好地反演研究区土壤氯化钠含量,可为潍坊北部地区土壤盐渍化监测和评价提供参考。
[Abstract]:In order to improve the monitoring accuracy of northern Weifang area soil sodium chloride content, high spectral estimation method of the content of sodium chloride in soil, this study using spectroscopic technique, a typical region of North sea salt water intrusion in Weifang city as the study area, collected 41 soil samples, and determination of physicochemical properties, mathematical transformation of the measured spectra the reflectivity, and the correlation between soil samples and sodium chloride content, using partial least squares regression analysis method to establish the monitoring model of soil sodium chloride content. The results show that the determination coefficients of the first order differential and two order differential soil sodium chloride content monitoring model are all higher than 0.8, and the modeling precision is high. After testing, the two order differential of reflectance is the best spectral index to predict the content of NaCl in soil. The model is Y=-828.278x6-635.832x7-348.817x2-583.591x9+360.329x4+1 44.751, the determination coefficient is 0.859, and the root mean square error is 0.274. The reflectance spectrum transform after the actual feasibility of using partial least squares soil sodium chloride content in northern Weifang was established to estimate the regression model is higher and can better inversion of soil sodium chloride content, which can provide a reference for the northern Weifang area monitoring and evaluation of soil salinization.
【作者单位】：山东师范大学地理与环境学院;山东省地质环境监测总站;
【基金】：国家自然科学基金项目(41371395) 山东省国土资源厅项目[鲁勘字(2011)14号] 山东省水利厅项目[鲁水财字(2012)49号-2]
【分类号】：S156.41;S127
【正文快照】： 潍坊北部平原区是山东省重要的果蔬、粮食产地,由于海咸水入侵使地下水矿化度增高,淡水资源短缺,出现了土壤盐渍化现象,是典型的滨海盐土区[1]。滨海盐土主要特征是以氯化物为主,盐分组成单一,土壤全剖面含盐,其成因是海水入侵或者高矿化度地下水的作用[2]。土壤盐分离子含量

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