ASSESSMENT OF ACTUAL EVAPOTRANSPIRATION AND WATER STRESS FROM LANDSAT ETM+ SATELLITE DATA USING THE PRIESTLEY–TAYLOR MODEL IN THE HABRA PLAIN, ALGERIA

A. HAMIMED, M. BENSLIMANE, A. KHALDI, L. NEHAL, M. ZAAGANE

Abstract


In semi-arid regions such as the Habra Plain in northwestern Algeria, accurately estimating actual evapotranspiration (ET) is critical for effective agricultural water management. This study presents a remote sensing-based methodology integrating Landsat-7 ETM+ imagery with the Priestley–Taylor model to derive spatially distributed maps of actual evapotranspiration and water stress. The approach incorporates the “triangle method,” which explores the relationship between land surface temperature (Ts) and the Normalized Difference Vegetation Index (NDVI), to parameterize the Priestley–Taylor coefficient (α) as a function of surface moisture conditions. Satellite-derived variables, including surface temperature, albedo, and vegetation indices, were corrected for atmospheric effects, while ground-based meteorological data informed the surface energy balance components.

Model validation was conducted through comparisons with ground-based Bowen ratio measurements and SEBAL model outputs, yielding a root mean square error (RMSE) of 49.6 W/m² and a correlation coefficient of 0.84. The results reveal distinct spatial patterns of water availability, with high ET values corresponding to irrigated and marshy areas, and low ET values in bare or sparsely vegetated zones. Despite limitations stemming from uncertainties in intermediate parameters, the proposed approach offers a robust and practical tool for regional-scale ET estimation in data-scarce environments. It supports informed decision-making in water resource management and enhances the operational monitoring of crop water needs.


Keywords


Actual evapotranspiration, Priestley–Taylor model, Landsat ETM+, Remote sensing, Triangle method, Water stress mapping, Semi-arid agriculture

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References


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