In this study, we combined machine learning and remote sensing techniques to estimate the
value of chlorophyll-a concentration in a freshwater ecosystem in the South American …

Hulun Lake is facing significant water quality degradation, necessitating effective monitoring
for safety. Traditional methods lack the necessary spatial and temporal coverage …

This review examines the integration of remote sensing technologies and machine learning
models for efficient monitoring and management of lake water quality. It critically evaluates …

Total phosphorus (TP) concentration is high in countless small inland waterbodies in Hubei
province, middle China, which is threating the water environment. However, there are almost …

Remote sensing datasets offer a unique opportunity to observe spatial and temporal trends
in water quality indicators (WQIs), such as chlorophyll-a, salinity, and turbidity, across …

In this study, we employ in situ, meteorological, and remote sensing data to estimate
chlorophyll-a concentration at different depths in a South American freshwater ecosystem …

This chapter offers a comprehensive review of geographic information system (GIS)-based
approaches for estimating water quality parameters. It highlights the advantages of using …

In recent years, the need to reduce water pollution and improve environmental water quality
has increased. In this study, we estimated the spatial distribution of suspended solids (SS) …

The water source of the water diversion project from the Hanjiang River to the Weihe River is
one of the most important drinking water sources in China. Its water quality is related to the …

China's northern Hulun Lake is a significant body of water internationally. The issue of
eutrophication has gained prominence in recent years. The achievement of precise …