The application of machine learning (ML) and remote sensing (RS) in soil and water
conservation has become a powerful tool. As analytical tools continue to advance, the …

The suspended sediment (SS) and microplastic (MP) transport in rivers is quite a complex
process, influenced by several spatially and temporally changing factors (eg, hydrology …

This is a systematic literature review of the application of machine learning (ML) algorithms
in geosciences, with a focus on environmental monitoring applications. ML algorithms, with …

Suspended sediment concentration (SSC) in water increases temperature and turbidity,
limits the photosynthesis of aquatic plants, and reduces biologically available oxygen. It is …

Rivers transport terrestrial microplastics (MP) to the marine system, demanding cost-effective
and frequent monitoring, which is attainable through remote sensing. This study aims to …

Monitoring of the water level and river discharge is an important task, necessary both for
assessment of water supply in the current season and for forecasting water consumption …

Five countries share the catchment of the Tisza River (Central Europe). In most households
electricity and water are available, and by washing synthetic clothes they can produce a …

The physical and biological structure of riparian vegetation fundamentally influences
floodplain roughness, and thus the flood velocity and flood levels of a river. The study aims …

Abstract Chlorophyll-a (Chl-a) and Total Suspended Matter (TSM) are key health indicators
of the coastal ocean and seas. The former is linked to primary productivity, while the latter is …

In geothermal developments, characterizing hydrothermal flow is essential for predicting
future production and designing effective development strategies. Numerical simulation …