Our mesh is derived by combining concurrent aerial imagery and LiDAR point clouds to create an ultra-high-resolution urban digital twin with photorealistic texture. This hybrid data method results in greater detail, accuracy and consistency, making our mesh models perfect for smart city integration and analysis, urban planning, infrastructure optimisation and city modelling.
Generated from LiDAR point clouds, our city models represent buildings as standardised, untextured 3D objects at two levels of detail (LOD2), displaying the building's footprint and height as well as the roof's surface, pitch and angle. The model facilitates efficient visualisation and data analysis using CityGML-compliant, XML-based encoding for data representation, storage and exchange.
Trees are vital for supporting a healthy and sustainable community. Leverage tree models to understand the spatial composition of your environment for green space planning, urban tree inventory and cover change, shadow analysis and solar potential assessment. Our data set includes tree positions, height, crown diameter and crown volume.