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黄浦江上游水域的多光谱遥感水质监测与反演模型 预览 被引量:21

Multi-spectral Remote Sensing Based Water Quality Monitoring and Inversion Modeling in Upper Stream of Huangpu River
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摘要 运用遥感、GPS定位技术对黄浦江上游淀山湖及支干流水环境质量中的水质污染进行了监测,探讨了以实际监测数据与遥感多光谱特征数据建立溶解氧和透明度两种水质参数的遥感反演数学模型。结果表明,利用遥感技术和数据能有效地监测水质污染状况与分布情况,是一种较为快速、可行的监测手段。 The water quality monitoring of Huangpu River upper stream is studied based on remote sensing and GPS technologies. The processing methods of multi-spectral remote sensing imagery are presented, and the inversion models of the typical water quality parameters Dissolved Oxengen and Secchi Disk are derived. The results show that remote sensing is a fast and feasible water quality monitoring method, and can detect effectively the temporal and spatial distribution of water quality.
作者 童小华 谢欢 仇雁翎 赵建夫 TONG Xiaohua, XIE Huan,QIU Yanling, ZHAO Jianfu (1.Department of Surveying and Geo-informaties, Tongji University, 1239 Siping Road, Shanghai 200092, China;2.State Key Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing , Wuhan University, 129 Luoyu Road, Wuhan 430079, China;3.State Key Laboratory of Pollution Control and Resource Reuse, Tongji University, 1239 Siping Road Shanghai 200092, China)
出处 《武汉大学学报:信息科学版》 EI 北大核心 2006年第10期 851-854,共4页 Geomatics and Information Science of Wuhan University
基金 国家自然科学基金资助项目(40301043) 上海市科委科技攻关资助项目(04DZ12028) 上海市青年科技启明星计划资助项目(05QMX1456).
关键词 黄浦江 TM影像 水质监测 反演模型 Huangpu River TM image water quality monitoring inversion model
作者简介 童小华,教授,博士,博士后,博士生导师。现主要从事遥感和GIS数据不确定性处理与质量控制研究。E—mail:tongxhtj@yeah.net
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