 Remote sensing has become an important tool for monitoring irrigated lands over a variety of climates and locations. Studies have shown that vegetation indices can be used to identify irrigated fields, while single-date imagery taken during peak growing season can be used to identify irrigated lands. However, multi-date image data and classification methods are necessary to differentiate between crops and to improve accuracy. At smaller scales, remote sensing has proven successful in identifying irrigated lands, but at larger scales, more work needs to be done to identify the best spectral indices, best time periods, and best classification methods under different climatological and cultural environments. Additionally, remote sensing and national statistical approaches require further refinement with a substantial investment of time and resources, for ground-truthing. This article was authored by Chelsea Cervantes, Mutlu Ozdigan, Yang Yang, and others.