The reliable estimation of earthquake magnitude and stress drop are key in seismology. The novel technology of distributed acoustic sensing (DAS) holds great promise for source parameter inversion owing to the measurements’ high spatial density. In this study, I demonstrate the robustness of DAS for magnitude and stress drop estimation using the empirical Green’s function deconvolution method. This method is applied to 7 colocated earthquakes recorded in Israel following the 2023 Turkey earthquakes. Spectral ratios were calculated using amplitude spectra stacked along the fiber, and fitted with a relative Boatwright source spectral model. Excellent fits were obtained even for similar sized earthquakes. Stable seismic moments and stress drops were calculated assuming the moment of one earthquake is known. These robust source parameters suggest that stress drop increases with seismic moment. The results demonstrate the great potential of DAS for source studies.