基于ETM+影像的温榆河水质参数反演  

Retrieving for water quality parameters of Wenyu River based on ETM+ images

作　　者：杨柳[1] 韩瑜[1] 李帆[2] 简陈晨[1] 汪祖茂[1] 吴忠诚[1] 

机构地区：[1]中国矿业大学(北京)地球科学与测绘工程学院,北京100083 [2]中国科学院地理科学与资源研究所,北京100083

出　　处：《黑龙江大学自然科学学报》2013年第4期533-539,共7页Journal of Natural Science of Heilongjiang University

基　　金：北京市财政资金资助项目(PXM2012_178203_000001);中央高校基本科研业务费专项资金资助项目(2009QD04)

摘　　要：以北京市温榆河为研究对象,基于水质采样数据和ETM+影像,采用多元线性回归分析方法探求了水质参数—总氮(TN)、氨氮(NH3-N)浓度与ETM+影像的可见光、近红外和中红外波段光谱反射率之间的相关性,建立了精度较高的TN和NH3-N浓度反演模型,并利用2010年10月28日的实地采样数据与准同步遥感影像(2010年11月4日)对反演模型进行了通用性评价与检验。研究结果表明,通过波段组合和大气校正,可以在很大程度上提高水质参数与光谱数据的相关性,但受遥感影像、采样时间和采样数据等诸多因素影响,模型的通用性较差。The Wenyu River in Beijing was chosen for the study. A muhivariable linear regression analysis was used to build a relationship between the water quality parameters, including total nitrogen （TN） concentration and am- moniacal nitrogen （ NH3- N） concentration, and the spectral reflectances of visible, near-infrared, mid-infrared bands in ETM ＋ images. A high accuracy, remote sensing retrieval model of TN and NH3- N concentrations were established. Field sampling data on October 28, 2010 and quasi-synchronous remote sensing images （ November 4, 2010） were used to analyze and evaluate the generality of the model. The correlation of water quality parameters and spectral data could be significantly improved through the band combinations and atmospheric correction. However, the generality of the retrieval model is not satisfied because of many factors such as remote sensing images, sampling time, sampling data and so on.

关 键 词：TN NH3-N ETM+影像 水质遥感 反演模型 

分 类 号：TP79[自动化与计算机技术—检测技术与自动化装置]