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 …

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 …

Phytoplankton is considered a strong predictor of the environmental quality of lakes, while
Chlorophyll-a is an indicator of primary productivity. In this study, 25 LANDSAT images …

Our study investigates the capability of the environmental map** and analysis program
(EnMAP) scenes simulated using the EnMAP end-to-end simulator software (EeteS) based …

Climate change and human activities have been heavily affecting oceanic and inland
waters, and it is critical to have a comprehensive understanding of the aquatic optical …

The diffuse attenuation coefficient of photosynthetically active radiation is an important
inherent optical property of the subaquatic light field. This parameter, as a measure of the …

This study represents the first application of Sentinel-2 remote sensing imagery and model
fusion techniques to assess the chlorophyll-a (Chla) concentration and turbidity in Nansi …

Shallow lakes are prone to water quality deterioration and are difficult to manage. Turbidity
is a physical parameter commonly used to estimate water quality. Revealing the …

Improving water quality is one of the top priorities in the global agenda endorsed by the
United Nations. To ensure the achievement of this goal, governments have developed plans …

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 …