Application of Satellite Data on Water Pollution: An Intensive Review

J. Dey, R. Vijay
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Abstract

Evaluation of water pollution is a priority work nowadays. The signature of the waterbody reveals its excellence or mediocrity and reflectance that can measure by a sensor used to analyse the health status of the waterbody. The remote sensing analysis has become the latest state of art technologies for monitoring large-scale waterbodies. High-resolution satellite data are now available to estimate water pollution through various water quality parameters like clarity, chlorophyll, suspended solids, turbidity, temperature, salinity, organic matter, etc. In this review study, a special emphasise has been given to the various satellites like Landsat, sentinel, satellite pourl’Observation de la terre (SPOT), moderate resolution imaging spectroradiometer (MODIS), medium resolution imaging spectrometer (MERIS), Indian remote sensing satellites (IRS) and its application on water pollution. Availability of satellite data, algorithms, and models to assess water quality has also been reviewed in detailed. The review suggests development and innovation in satellites, sensors and techniques to assess the non-optically active constituents of water quality for better understanding and management of water pollution.
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水污染卫星数据的应用综述
水污染评价是当前的一项重点工作。用于分析水体健康状况的传感器可以测量水体的特征和反射率,从而揭示水体的优劣。遥感分析已成为大尺度水体监测的最新技术。现在有高分辨率的卫星数据可以通过各种水质参数,如清晰度、叶绿素、悬浮物、浊度、温度、盐度、有机物等来估计水污染。本文重点介绍了Landsat、sentinel、SPOT、中分辨率成像光谱仪、MERIS、印度遥感卫星等卫星及其在水污染研究中的应用。卫星数据、算法和模型的可用性评估水质也进行了详细的审查。该审查建议发展和创新卫星、传感器和技术,以评估水质的非光学活性成分,以便更好地了解和管理水污染。
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