SUMMARY
The quantification of evapotranspiration from irrigated areas is important for agriculture water management, especially in arid and semiarid regions where water deficiency is becoming a major constraint in economic welfare and sustainable development. Conventional methods that use point measurements to estimate evapotranspiration are representative only of local areas and cannot be extended to large areas because of heterogeneity of landscape. Remote sensing based energy balance models are presently most suited for estimating evapotranspiration monitoring water stress at both field and regional scales. In this study, we aim to develop a methodology based on the triangle concept, allowing access to evapotranspiration through the classical equation of Priestley and Taylor (1972) where the proportional coefficient a in this equation is ranged using a linear interpolation between surface temperature and Normalized Difference Vegetation Index (NDVI) values. Preliminary results, using remotely sensed data sets from Landsat ETM+ over the Habra Plains in westAlgeria, are in good agreement with ground measurements. The proposed approach appears to be more reliable and easily applicable for operational estimation of evapotranspiration over large areas.