A time series of detailed point clouds of an experimental planting trial were captured at regular intervals using photogrammetry techniques. Each point cloud was segmented into individual plant specimens, which were analysed to determine growth parameters. These parameters describe the approximate growth and seasonal characteristics of the subject species and can be used to inform future designs. The outcomes of these design experiments support the use of spatial data capture tools to make decisions about species selection and design in the future practice of landscape architecture.