3D Trees (Canopy) Model is essential for 5G networks precise modeling.
5G networks provide increased speeds of signal and network capacity. However, the signal is susceptible to any obstacle due to the short propagation distance. So, a vegetation array or even a single big tree can block a signal and should be taken into account in the planning process.
Visicom 3D data contain 3D TREES MODEL derived from the stereo pairs of high-resolution satellite imagery, lidar data, airphotos. Tree shapes are produced using an automated production process of object recognition from high-resolution multispectral satellite images. Our Machine Learning methods, developed based on Convolutional Neural Networks and Deep Learning Techniques, allow obtaining tree shapes for the entire country fast and at a high accuracy level.
3D TREES MODEL MADE SPECIFICALLY FOR 5G PLANNING REPRESENTS DETAILED VEGETATION WITH ASSIGNED HEIGHT ATTRIBUTES:
- Vector vegetation layer is delivered as polygons with assigned height attributes
- Raster vegetation layer is provided as a matrix with assigned height attributes to each cell (1x1 m or 2x2 m)
3D Tress geodata along with related 3D buildings Digital Terrain Model (DTM), Clutter (LandUse) model, and basic vectors are ideally suited for 5G networks deployment in cities or high-urbanized areas and suburbs as well as for countrywide network design.