 This study used remote sensing data and USDA irrigation statistics to create a geospatial model that accurately identifies irrigated lands across the United States. The model was tested in California and the Great Plains States, where it had high accuracy rates of 92% and 75%, respectively. In order to improve the model's performance in the eastern region, further research is required to refine the data set and increase the model's accuracy. This article was authored by M. D. Scharrier-Pervez and Jocelyn F. Brown.