Application of remote sensing technology in water quality monitoring

Abstract

Water is the source of life, and water quality is one of the world's significant environmental problems today; the current state of water quality problems is worrying. Traditional water quality monitoring methods usually use buoys to carry sensors or manual sampling for real-time field water quality monitoring. These methods, although the monitoring accuracy is high, are labor-intensive, expensive and time-consuming. Remote sensing technology now occupies an increasingly important position in water quality monitoring because of its low cost, wide range and fast response time. This study introduces the research status and development problems of water quality remote sensing monitoring neighborhood from water quality remote sensing principle, data source, indicators, and monitoring methods. Results show that the data source mainly contains satellite and emerging UAV data. The remote sensing indicators typically include FUI, suspended solids, CDOM, Chl-a, and TN; Traditional methods like empirical and semi-empirical methods, and developing methods like analytic method and the surging machine learning and automation methods.