Northern Mexico is characterized by semiarid climate, where limited precipitation restricts crop production. Therefore, production needs efficient irrigation techniques. Agriculture is a high water consumption activity that in order to become more sustainable, demands knowledge of irrigation efficiencies at the regional scale. In this work we present a method to estimate irrigation efficiencies of croplands based on the crops’ water demand obtained with remote sensing data. The study site is located in an agricultural valley in northern Mexico in an area of cornfields with approximately 47,000 ha under irrigation that lies on top of an overexploited aquifer with a sustained declining water table (averaging 2m/year of drawdown). Using Landsat 8 derived imagery from the METRIC-EEFLUX site for the period between May 16 (emergence season) to Nov 24 (harvest season) during the 2017 agricultural cycle, the Crop coefficient (Kc), the reference Evapotranspiration (ET0) and the actual Evapotranspiration (Eta) were obtained. To obtain daily values of ETa in between the 16 day Landsat images interval, we used Kc obtained from its relation with a normalization of the enhanced vegetation index (EVI), and ET0 calculated using Penmann-Montheit fed with meteorological data from weather stations in the vicinity of the area. Irrigation efficiency was calculated using the quotient between ETa and water applied during the agricultural cycle measured with volumetric gauges at the outlet of the irrigation systems. For this study we monitored 5 parcels of corn with different irrigation systems: two parcels with drip irrigation, one with sprinkler irrigation and two with furrow irrigation. Results from the irrigation efficiencies ranged from 47 % to 71 % and depend on factors like parcel dimensions, irrigation schemes, scheduling and its spatial uniformity. Crop yield data is used to discuss the impacts of these factors on the irrigation efficiencies and the implications of different water use strategies for the sustainability of water resource-compromised regions. This methodology can be replicated in extensive areas requiring knowledge of irrigation efficiencies for more sustainable water management.