3D scanning technologies supported the generation of a virtual 3D environment designed to advance spatial and technical learning at a fundamental level for landscape architecture students after COVID-19 safety protocols rendered a studio site inaccessible. The paper discusses accessible workflows for integrating site capture data with landscape information and representation models. Each model derived from the point cloud is tied to specific learning objectives ranging from analysis to qualitative evaluation and spatial experience. The studio continues to use the scanned site to advance representations and analysis now that COVID-19 restrictions have been relaxed.