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The value of hyperspectral imagery in agricultural management has been amply demonstrated. Despite this, image interpretation is often drastically impeded by changes in soil moisture content (SMC). Soil moisture variations dominate the spectral reflectance in the 350–2500‐nm wavelength domain and affect the effectiveness of spectral indices used to monitor variations in soil and vegetation properties...