首页 | 本学科首页   官方微博 | 高级检索  
     

利用土壤的近红外光谱特征测定土壤含水量
引用本文:李美婷,武红旗,蒋平安,卢响军,付彦博. 利用土壤的近红外光谱特征测定土壤含水量[J]. 光谱学与光谱分析, 2012, 32(8): 2117-2121. DOI: 10.3964/j.issn.1000-0593(2012)08-2117-05
作者姓名:李美婷  武红旗  蒋平安  卢响军  付彦博
作者单位:新疆农业大学草业与环境科学学院,新疆 乌鲁木齐 830052
基金项目:国家自然科学基金项目,国家公益性行业(农业)科研专项经费项目,新疆土壤学重点学科基金
摘    要:以新疆玛纳斯县不同质地土壤(砂壤土、粉粘壤土和粘土)室内光谱反射率作为研究对象,采用包络线去除法对土壤光谱曲线进行处理,与土壤含水量进行相关分析并建立模型。结果表明:不同质地土壤光谱反射率大小依次为:粘土>粉粘壤土>砂壤土;砂壤土、粉粘壤土和粘土分别以田间持水量20.01%,24.10%和30.43%为临界点,在低于该临界点范围内含水量与反射率呈反比,在高于该临界点范围内含水量与反射率呈正比;在1 390~1 623 nm波段内,土壤含水量与光谱归一化反射率有较好的负相关,并达到显著水平,所建立的土壤含水量预测模型R2值达到0.8以上,模型平均相对误差为10%。结果表明,建立不同质地土壤含水量光谱预测模型可以较准确反映土壤含水量,其快速、无损、准确的优点,为测定土壤含水量提供了一种新方法。

关 键 词:土壤质地  含水量  光谱反射率  模型  
收稿时间:2011-12-11

Measuring Soil Water Content by Using Near Infrared Spectral Characteristics of Soil
LI Mei-ting , WU Hong-qi , JIANG Ping-an , LU Xiang-jun , FU Yan-bo. Measuring Soil Water Content by Using Near Infrared Spectral Characteristics of Soil[J]. Spectroscopy and Spectral Analysis, 2012, 32(8): 2117-2121. DOI: 10.3964/j.issn.1000-0593(2012)08-2117-05
Authors:LI Mei-ting    WU Hong-qi    JIANG Ping-an    LU Xiang-jun    FU Yan-bo
Affiliation:College of Pratacultural & Environmental Science, Xinjiang Agricultural University, Urumqi 830052, China
Abstract:Different textured soils(sandy loam,silty clay loam and clay) from Manas County,Xinjiang were researched with indoor spectral reflectance,continuum removal was used to process soil spectra curve,and correlation analysis was made about normalized spectral reflectance and water content for modeling.The results show that different textured soils have reflectance in a order that clay>silty clay loam>sandy loam;the critical points of field capacity in sandy loam,silty clay loam and clay were 20.01%,24.10% and 30.43% respectively,and water content was inversely proportional to spectral reflectance below such critical points while proportional above the points.Within 1 390~1 623 nm band,the negative correlation coefficients of soil water content and normalized spectra reflectance show better negative correlation and reaching significant levels,R2 of the model established for soil water content prediction exceeded mostly 0.8,and the average relative error of the model was 10%.The model could accurately reflect the soil moisture content,Its advantages such as accuracy,non-destruction and rapidness provide a new approach to measuring soil water content.
Keywords:Soil texture  Water content  Spectral reflectance  Model
本文献已被 CNKI 万方数据 等数据库收录!
点击此处可从《光谱学与光谱分析》浏览原始摘要信息
点击此处可从《光谱学与光谱分析》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号