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Precise application of irrigation water to crops requires an accurate calculation of daily crop evapotranspiration (ET), which has always remained a challenge to the scientific community. Reflectance-based crop coefficients approach has a strong theoretical base, as both the crop coefficient [ratio of actual crop (ET_c) and reference ET (ET₀)] and remote sensing of crop follow a similar response curve mediated by crop growth stages and crop health conditions. This paper investigates the feasibility of linking the evolution of basal crop coefficient (K_cb) of wheat to the hyperspectral remote sensing derived vegetation indices, through leaf area index (LAI), the principal plant growth parameter. Two years field experiments were conducted with three cultivars of wheat (Triticum aestivum L.) under adequate (6-cm each irrigation) and limited (4-cm each irrigation) water supply. Ground based observations on profile water …