A Remote Sensing-Based Groundwater Level Monitoring System Using Machine Learning
A remote sensing-based groundwater level (GWL) monitoring system that uses machine learning algorithms and remotely sensed hydrological parameters to reconstruct well-specific GWL time series is proposed and demonstrates that the proposed system can effectively reconstruct GWL dynamics for most wells.