 This paper presents a new, easy-to-use filtering method for separating ground and non-ground measurements from airborne LiDAR data to generate digital terrain models. The proposed approach uses an inverted LiDAR point cloud and a rigid cloth to determine the locations of ground surface nodes, resulting in an average total error of 4.58% on benchmark data sets. This method may help users without experience to use LiDAR data and related technology more easily in their own applications. This article was authored by Wu Mingzhang, Jiang Baqi, Peng Wan, and others.