The Upper Red River Basin (URRB) in the USA has seen a big increase in irrigation farming over the last 20 years. This growth has raised concerns about using too much groundwater and reducing the water available downstream, especially during droughts. To tackle this problem and support farming in a sustainable way, this study helps build a detailed database of irrigated lands, active wells, and groundwater use in the area. The main goal is to measure how much groundwater farmers are using, check if it follows allowed limits, and find areas where over-pumping might be happening. The study combines satellite data, computer models, and local information to estimate water use and test how sustainable it is. However, limited and inconsistent data, like missing rainfall records and groundwater levels, make this challenging. They use satellite data from the GRACE mission, improved with machine learning to get detailed water storage info, along with maps and a hydrologic model called SWAT. This method helps understand how groundwater is being used and depleted in the basin, highlighting risks to water sustainability for agriculture and the environment.