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表面水质遥感监测研究
引用本文:张渊智,聂跃平,蔺启忠,荆林海,张兵.表面水质遥感监测研究[J].遥感技术与应用,2000,15(4):214-219.
作者姓名:张渊智  聂跃平  蔺启忠  荆林海  张兵
作者单位:(中国科学院遥感应用研究所 北京 100101)
基金项目:欧盟(EU)合作项目“水质遥感监测”资助。
摘    要:主要讨论了应用多种传感器遥感技术进行表面水质监测研究的有效性。首先论述了纯水和不
同水质的波谱特性,然后以芬兰海湾和芬兰南部湖泊为应用实例,进行多种遥感数据和主要水质参
数之间的相关性分析,从而确定不同波谱段是否可以有效地监测表面水质的变化情况。本研究为新
一代传感器的设计提供水质监测的重要参数,进一步的试验研究仍在进行之中。

关 键 词:表面水质  波谱特性  传感器遥感技术  
文章编号:1004-0323(2000)04-0214-06
收稿时间:2000-06-21
修稿时间:2000年6月21日

Surface Water Quality Monitoring Using Remote Sensing
ZHANG Yuan-zhi,NIE Yue-ping,LIN Qi-zhong,JING Lin-hai,ZHANG Bing.Surface Water Quality Monitoring Using Remote Sensing[J].Remote Sensing Technology and Application,2000,15(4):214-219.
Authors:ZHANG Yuan-zhi  NIE Yue-ping  LIN Qi-zhong  JING Lin-hai  ZHANG Bing
Affiliation:(Institute of Remote Sensing Applications,The Chinese Academy of Sciences,Beijing100101,China)
Abstract:This paper describes the possibility of surface water quality monitoring using remote sensing technology and the spectral signatures of pure water and other types of water quality. Using airborne and spaceborne data (TM and ERS\|2) analysed with in situ measurements of ground truth points for water quality parameters, some major factors of surface water quality can be derived from remote sensing data by case studies. Concurrent in situ surface water quality measurments, Landsat TM data and ERS\|2 SAR data were obtained in the selected locations in August1997. In situ data included measurements of chlorophyll\|a, total dissolved organic carbon and turbidity, Secchi disk depth, color index, estimated wave height, salinity and surface temperature. The Landsat TM and ERS\|2 SAR data from locations of water samples were extracted and the digital data were examined in their raw states as well as numerous transformations. Significant correlations were observed between digital numbers and surface water quality parameters. The results indicate that it may be possible to derive surface water quality parameters using remote sensing data in our case study area. However, the technique still needs to be refined to detect differences within the range of water quality which is typically found in the area under study.
Keywords:Surface water quality  Spectral signatures  Multi\|sensors remote sensing
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