In GIS scenarios such as digital twins, urban modeling, and terrain mapping, point cloud data acquired by LiDAR is increasingly becoming a core asset. However, point cloud data is characterized by its large volume and diverse formats. To efficiently publish massive LAS and LAZ files to the web for loading by 3D engines like Cesium, a complex process of tiling, compression, and coordinate system transformation is often required. Although open-source point cloud tiling tools exist on the market, most still rely on the pnts format of 3D Tiles 1.0 and offer limited support for the LAZ compression format and very large datasets. We recently discovered an open-source tool: Point Tiler, which supports converting point cloud data into the v1.1 version of 3D Tiles.
