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Water Quality Monitoring Using Remote Sensing Technique

机译:采用遥感技术的水质监控

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There has been a rapid growth of shrimp farm around Kung Krabaen Bay in the past decade. This has caused enormous rise in generation of domestic and industrial wastes. Most of these wastes are disposed in the Kung Krabaen Bay. There is a serious need to retain this glory by better water quality management of this river. Conventional methods of monitoring of water quality have limitations in collecting information about water quality parameters for a large region in detailed manner due to high cost and time. Satellite based technologies have offered an alternate approach for many environmental monitoring needs. In this study, the high-resolution satellite data (LANDSAT TM) was utilized to develop mathematical models for monitoring of chlorophyll-a. Comparison between empirical relationship of spectral reflectance with chl-a and band ratio between the near infrared (NIR) and red was suggested to detect chlorophyll in water. This concept has been successfully employed for marine zones and big lakes but not for narrow rivers due to constraints of spatial resolution of satellite data. This information will be very useful in locating point and non-point sources of pollution and will help in designing and implementing controlling structures.
机译:在过去十年中,Kung Krabaen海湾周围的虾场迅速增长。这引起了国内和工业废物的巨大崛起。这些废物中的大部分都是在Kung Krabaen Bay中的。通过更好的这种河流的水质管理,严重需要保留这个荣耀。由于高成本和时间,监测水质监测的常规监测水质的限制是以详细的方式收集有关大区域的水质参数的信息。基于卫星的技术为许多环境监测需求提供了替代方法。在这项研究中,利用高分辨率卫星数据(Landsat TM)来制定用于监测叶绿素-A的数学模型。近红外(NIR)与近红外(NIR)与近红外线和频率比的光谱反射率与带频率的经验关系的比较,以检测水中叶绿素。由于卫星数据的空间分辨率限制,这一概念已成功用于海洋区域和大湖泊,但不是狭窄的河流。此信息在定位点和非点污染源中非常有用,并有助于设计和实施控制结构。

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