This study investigates the impact of insufficient spanwise spatial resolution on the measurement accuracy of streamwise velocity fluctuations over rough walls. We use a direct numerical simulation (DNS) database of turbulent open-channel flow over three-dimensional sinusoidal roughness with varied wavelengths and roughness heights. Employing a triple decomposition, we investigate both the attenuation of the turbulent fluctuations (about the local mean), \(u^\prime\) and the dispersive stresses (roughness-induced fluctuations of the time-averaged mean about the global mean), \({\tilde{U}}\) . A boxcar filter on DNS data is applied to investigate the effects of spanwise spatial filtering on these quantities. Our analysis reveals the significance of two key length-scale ratios for velocity measurements over rough walls: the wire length relative to the spatially and temporally plane-averaged Kolmogorov scale at the roughness crest ( \(l/\langle \eta \rangle _k\) ), and the wire length relative to the roughness spanwise wavelength ( \(l/\Lambda _y\) ). We observe that maintaining \(l/\langle \eta \rangle _k\) constant while increasing \(l/\Lambda _y\) attenuates the variance of \({\tilde{U}}\) and \(u^\prime\) within the roughness sublayer. When fixing \(l/\Lambda _y\) , an increase in \(l/\langle \eta \rangle _k\) influences the turbulent fluctuations across all wall-normal locations. These findings highlight the necessity of considering both length scales when evaluating spanwise spatial resolution in turbulence measurements over rough walls.