The representation of complex landscape scenarios often requires the simplification of spatial datasets, especially in dynamic landscape contexts. This research documents a method for the implementation of multiple coincident point clouds into a temporal model that maps the transformation of the site over time, demonstrating clear contributions to areas of site response, design and management. The point cloud datasets consisted of UAV photogrammetry collected after the fire event, and municipal ALS data predating the fires. The research is focused on the specific interface of fire-affected forest and inhabited areas in the coastal community of Rosedale, NSW Australia, and demonstrates how point cloud technologies can be applied in hybrid temporal models in the spatial visualisation, comprehension, and reconstruction of these environments.