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遥感技术与应用  2013, Vol. 28 Issue (4): 681-688    DOI: 10.11873/j.issn.1004-0323.2013.4.681
模型与反演     
基于高光谱遥感反射率的总氮总磷的反演
徐良将,黄昌春,李云梅,陈霞
(南京师范大学地理科学学院,江苏 南京 210023)
Deriving Concentration of TN,TP based on Hyper Spectral Reflectivity
Xu Liangjiang,Huang Changchun,Li Yunmei,Chen Xia
(School of Geography Science,Nanjing Normal University,Nanjing 210046,China)
 全文: PDF(2058 KB)  
摘要:

基于2005年4~10月实测高光谱数据,通过微分法和波段比值法对室内水样分析结果中的总氮和总磷浓度进行反演。结果表明:以1 nm为间隔的微分法中455 nm处的微分值对总氮浓度较为敏感,最大负相关达到-0.857,而最大正相关为波段比值(1015/528 nm)的0.803,利用上述两个因子作为自变量进行多元回归,得到总氮最佳反演模型。该模型绝对误差为0.16,实测值与预测值之间R2为0.839;波段比值(671 nm/680 nm)对总磷浓度较为敏感,达到最大负相关-0.889,选用其作为自变量进行二次多项式回归,得到总磷最佳反演模型,该模型绝对误差为0.003,实测值与预测值之间R2为0.934。

关键词: 高光谱反射率总氮总磷波段比值微分方法    
Abstract:

Inversion of TN and TP’ concentration through the method of derivative and wavelength ratio on the basis of the hyper spectral data which was measured from April to October in 2005.The results indicate that differential method in the 1nm intervals 455 nm differential values of TN concentration in more sensitive,maximum Negative correlation coefficient is -0.857,maximum positive correlation coefficient is wavelength ratio’s(1 015/528 nm)0.803.Using these two factors as variables for multiple regression,the best inverse model of TN was got,the absolute error of model is 0.16,between measured and predicted values of R2 is 0.839.The band ratio (671/680 nm)of TP concentration is more sensitive,the maximum Negative correlation coefficient is -0.889,because the variables are selected as a second polynomial regression,the best inverse model of TP was got.The absolute error of the model is 0.003,between measured and predicted values of R2 is 0.934.

Key words: Hyper Spectral Reflectivity    TN    TP    Wavelength ratio    Derivative method
收稿日期: 2012-05-23 出版日期: 2013-08-14
:  X 524  
基金资助:

国家自然科学基金项目(41030751、41173094、41103047),中国科学院数字地球重点实验室开放基金(2012LDE009),高层次人才引进科研启动基金项目(2011105XGQ0244),江苏省普通高校研究生科研创新项目(CXZZ12_0395),江苏省高校自然科学研究项目(13KJB170007)。

通讯作者: 黄昌春(1982-),男,博士,讲师,江苏扬州人,主要从事环境污染遥感监测研究。E-mail:huangchangchun_aaa@163.com。    
作者简介: 徐良将(1979-),男,博士研究生,江苏徐州人,主要从事土壤侵蚀与环境效应研究。E-mail:xuliangjiang@njnu.edu.cn。
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引用本文:

徐良将,黄昌春,李云梅,陈霞. 基于高光谱遥感反射率的总氮总磷的反演[J]. 遥感技术与应用, 2013, 28(4): 681-688.

Xu Liangjiang,Huang Changchun,Li Yunmei,Chen Xia. Deriving Concentration of TN,TP based on Hyper Spectral Reflectivity. Remote Sensing Technology and Application, 2013, 28(4): 681-688.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2013.4.681        http://www.rsta.ac.cn/CN/Y2013/V28/I4/681

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