Urban greenery provides enormous benefits that include flood regulation by intercepting rainfall before it evaporates, thus contributing to reducing runoff. Hydrologic modelling is often used to simulate floods, including runoff-generating processes in urban environments, based on raster data. However, the modelling outcomes heavily rely on image resolutions of the input data, particularly when the image contains mixed pixels. Laser-scanning technology has been widely used to assess three-dimensional plant morphology in more detail, including leaf characteristics. However, research on tree canopy interception based on Leaf Area Index retrieved from three-dimensional data is still limited. This paper addresses this existing gap in estimating the storage capacity of tree canopy using point cloud data from airborne laser scanners (ALS) and terrestrial laser scanners (TLS), and applying the Kristensen and Jensen method at Ganesha Park, Bandung, Indonesia. The outcomes show that all trees in the area can contribute to intercepting 54,83% of the total precipitation per day during heavy rainfall. It is suggested that this study can demonstrate the invaluable use of tree canopies in reducing runoff in an urban context.