Abstract Machine learning-based geospatial applications offer unique opportunities for
environmental monitoring due to domains and scales adaptability and computational …

Water resources management is a vital component of maintaining good water quality. The
surveillance program is one of the essential tools for regularly monitoring water quality. But …

Remote sensing of forests is a powerful tool for monitoring the biodiversity of ecosystems,
maintaining general planning, and accounting for resources. Various sensors bring together …

Water quality deterioration in reservoirs threats human drinking water safety. It can be
influenced by the macro-processes of meteorology, hydrology, and pollution. However, the …

With the rise of electronic data, particularly Earth observation data, data-based geospatial
modelling using machine learning (ML) has gained popularity in environmental research …