Satellite soil moisture as an additional observational constraint for machine learning-based irrigation water use modeling (opens in new tab)

High-resolution irrigation water use (IWU) estimation is increasingly needed for water resource management but remains hindered by the scarcity of direct observations and the limitations of conventional machine learning (ML) methods in addressing regional heterogeneity. In this study, we examine whether monthly IWU at 9 km resolution over the conterminous United States benefits from spatially explicit ML parameterization, and whether satellite soil moisture (SM) provides additional observatio...