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地球科学进展  2009, Vol. 24 Issue (2): 150-158    DOI: 10.11867/j.issn.1001-8166.2009.02.0150
综述与评述     
内陆水质遥感不确定性:问题综述
周冠华1,2,唐军武3,田国良4,李 京2,柳钦火4
1.北京师范大学资源学院,北京 100875;   2.民政部/教育部减灾与应急管理研究院, 北京 100875;3.国家卫星海洋应用中心,北京 100081;
4.中国科学院遥感应用研究所,遥感科学国家重点实验室, 北京 100101  
Uncertainty Analysis of Inland Water Quality Remote Sensing: A Review
Zhou Guanhua1,2,Tang Junwu3,Tian Guoliang4,Li Jing2,Liu Qinhuo4
1.College of Resources Sciences and Technology, Beijing Normal University, Beijing 100875,China;
2.Academy of Disaster Reduction and Emergency Management Ministry of Civil Affairs & Ministry of Education, Beijing 100875; 3.National Satellite Ocean Application Service,Beijing 100081, China;4. State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Application, Chinese Academy of Sciences, Beijing 100101, China
 全文: PDF(1202 KB)  
摘要:

内陆水质遥感是目前定量遥感领域的热点与难点,多种不确定性因素影响了内陆水质遥感的研究进展。较系统地总结了国内外近年来内陆水质遥感监测存在的突出问题与影响水质遥感监测精度的关键因素,具体从内陆水体光学特性的复杂性、大气校正的复杂性与水面反射光校正的不确定性、反演算法与生物光学模型的复杂性与区域性、现有传感器监测内陆水质在性能方面的局限性以及影响因素的复杂性与综合性几个方面进行了阐述,并指出了内陆水质遥感监测的研究重点与发展方向。

关键词: 内陆水体水质遥感不确定性遥感监测    
Abstract:

Water quality remote sensing is the hot and difficult topic in the field of environment remote sensing. Various factors affect the improvement of inland water quality remote sensing precision. This paper comments on the outstanding problems existing in inland water quality remote sensing monitoring and some key factors influencing the water quality parameters information extraction precision both at home and abroad. The complexity of the optical characteristics of inland body embodies the independence of the water body components, the similarity of the characteristic spectrum and the coupling effects of water components signal and together with the temporal and spatial variation of the water optics. The uncertainty of atmosphere correction embodies the variation of atmospheric aerosol optical characteristics and the uncertainty of correction of reflected light from wave water surface. The complexity and regional characteristics of bio-optical models demand complex inversion algorithms. The scale effects and uncertainty of model validation are obvious for multi-source remote sensing data cooperative inversion. Inland water quality remote sensing differs from ocean color remote sensing, which demands remoted data with high spatial resolution, spectral resolution and temporal resolution. Therefore, the performance limitations of the available satellite sensors in inland water quality monitoring were discussed in detail. All the above-mentioned factors were complicated and integrated. The emphases and the development direction of inland water quality remote sensing were pointed out.

Key words: Inland water    Water quality remote sensing    Uncertainty    Remote sensing monitoring
收稿日期: 2008-07-15 出版日期: 2009-02-10
:  TP79  
基金资助:

国家科技支撑计划课题“基于环境一号等国产卫星的环境遥感监测关键技术研究”(编号:2008BAC34B03);国家重点基础研究发展计划项目“陆表生态环境要素主被动遥感协同反演理论与方法”(编号:2007CB714403) 联合资助.

通讯作者: 周冠华     E-mail: zhouguanhua@163.com
作者简介: 周冠华(1976-),男,湖南攸县人,博士后,主要从事水环境遥感研究. E-mail:zhouguanhua@163.com
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引用本文:

周冠华,唐军武,田国良,李京,柳钦火. 内陆水质遥感不确定性:问题综述[J]. 地球科学进展, 2009, 24(2): 150-158.

Zhou Guanhua,Tang Junwu,Tian Guoliang,Li Jing,Liu Qinhuo. Uncertainty Analysis of Inland Water Quality Remote Sensing: A Review. Advances in Earth Science, 2009, 24(2): 150-158.

链接本文:

http://www.adearth.ac.cn/CN/10.11867/j.issn.1001-8166.2009.02.0150        http://www.adearth.ac.cn/CN/Y2009/V24/I2/150

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