Distributed acoustic sensing (DAS) is a state-of- the-art technology that is gaining popularity for seismic data acquisition that records seismic signals using fiber optics instead of geophones as a sensing tool. In most published studies, DAS with vertical seismic profiling (VSP) technique is generally used for subsurface imaging. In investigating new areas or regions without well-established access, surface DAS becomes a valuable and optimal option. Surface DAS does not require boreholes or wells at all because it uses fiber optic cables that are placed on the surface as a sensor array to capture the seismic wave that traveled back to the surface from wave propagation into the subsurface. In this paper, we present a MATLAB-based simulation for studying the impact of different gauge length on simulated surface Distributed Acoustic Sensing (DAS) data in terms of signal quality and subsurface imaging resolution. In summary, whereas longer gauge lengths in surface DAS simulations can lead to better directivity and SNR signal quality, their effects on subsurface imaging may not always be significant. In order to effectively balance signal quality and imaging resolution, the ideal gauge length should be chosen after giving careful consideration to variables such as source frequency and subsurface velocity.