A group of lava tubes on Jeju Island, Korea, constitutes predominant geological context. However, the threat of surface collapse by undiscovered lave tube networks haves been raised in connection with the recent infrastructure construction in Jeju Island. We therefore introduced InSAR techniques to measure the deformation of lava tube networks with machine learning applications and identified the ground deformation signals implying the instability of the shallow lava cavity networks.