A laz-to-.raw workflow to convert LiDAR data into a Unity-compatible heightmap for interactive visual flood narratives with ReFlood

For a given LIDAR cloud tile, a .laz-to-.raw processing pipeline enables the conversion of LiDAR data into a Unity-compatible heightmap. This can be used for instance in the ReFlood software that translates complex hydrological models into accessible visual narratives, thereby facilitating dialogue in workshops with policymakers and local communities. The resulting heightmaps, however, require expert verification to ensure flow continuity—particularly in cases where small watercourses are routed beneath road infrastructure. This dataset provides a Python script for such a workflow.