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A REMOTE SENSING BASED FRAMEWORK FOR PREDICTING WATER QUALITY OF DIFFERENT SOURCE WATERS

机译:基于遥感的基于谱系预测不同来源水域的水质

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摘要

In this paper, a satellite based remote sensing technique of acquiring water quality data is proposed. A review has been presented on retrieval of five major independent water quality variables (chlorophyll-a, Secchi disk depth, total phosphorus, turbidity and temperature) from the satellite data. A frame work has been developed for mapping water quality variables at landscape level using satellite and ground measured data with an intent to help classify source waters according to pollution levels in Alberta.
机译:本文提出了一种基于卫星获取水质数据的遥感技术。从卫星数据中检索五个主要的独立水质变量(叶绿素-A,Secchi磁盘深度,总磷,浊度和温度)的审查。已经开发了框架工作,用于使用卫星和地面测量数据在景观层面上映射水质变量,以意图通过艾伯塔省的污染水平来帮助分类源水域。

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