Taghvaeian, S., authorChávez, J. L., authorHansen, N. C., authorColorado State University, publisher2020-02-122020-02-122012https://hdl.handle.net/10217/201007http://dx.doi.org/10.25675/10217/2010072012 annual AGU hydrology days was held at Colorado State University on March 21 - March 23, 2012.Includes bibliographical references.Irrigated agriculture is the largest user of fresh water resources in arid/semi-arid parts of the world, where water is highly-demanded and usually over-allocated. Therefore, it is of crucial importance to accurately identify irrigation requirement of agricultural crops, known as evapotranspiration (ET). In this study, ground-based remotely sensed data were used in two major approaches to estimate crop coefficient (Kc) and ET over two treatments of limited-irrigation corn in northeastern Colorado. The first approach was the reflectance-based Kc, while the second approach was more complex and based on the surface energy balance equation. Implemented methods resulted in Kc values similar to what is reported in the literature for corn in the semi-arid climate of the study area. During a 4-week period, total corn ET averaged for all methods and treatments was 192 mm, similar to the reference alfalfa ET over the same period. The results showed that reflectance-based Kc methods are capable of estimating corn water consumption rates very similar to those of energy balance models during the period considered in the study.born digitalproceedings (reports)engCopyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.Text