rfMAP, your questions answered

rfMAP is high-precision 3D, 2.5D and 2D digital map data built for wireless network planning: buildings, vegetation, terrain and clutter, at sub-meter accuracy. It gives RF planning teams an authentic model of the real world to plan, simulate and densify 4G and 5G networks on, instead of flat 2D street centerlines.

5G cells reach only 300 to 500m and are blocked by line-of-sight obstacles. To plan them you need building heights, vegetation and clutter, not 2D centerlines. 3D buildings, 3D vegetation with heights and a clutter classification let your tools model where the signal actually reaches and where it dies, which is the difference between a cell that performs and one that has to be re-planned.

5G is different. With 300 to 500m cells and line-of-sight blockage by trees and buildings, planning needs 3D buildings plus vegetation heights plus clutter, not street centerlines. The denser the network, the more the third dimension decides coverage, so the data you planned 4G on no longer carries 5G.

The layer stack covers 3D buildings, 3D vegetation, 4D bridges, DTM (bare-earth terrain), DSM/Clutter Height (surface including buildings and vegetation), 2D vectors, and clutter classified into up to 35 land-use classes. Each layer is built to feed RF planning workflows directly rather than needing rework before your tools can read it.

rfMAP is vendor-neutral. The data is built to feed all major RF planning tools, drive-test equipment and GIS platforms, so it fits the workflow you already run. See the integrations page for how the layers map onto your planning stack.

rfMAP is vendor-neutral and feeds all major planning tools and drive-test equipment, so it is not tied to any one vendor’s stack. The network OEMs themselves appear in our customer list, including Ericsson, Nokia, Huawei and ZTE, which is why teams use rfMAP as the authentic 3D data layer underneath whichever planning tool they run.

rfMAP is built from multi-stereo high-resolution imagery with sub-meter accuracy, with QA and registration workflows and per-building multi-polygon modeling. The accuracy is engineered for RF planning, where building footprints, heights and clutter have to be precise enough for line-of-sight and Fresnel analysis to hold up.

rfMAP data spans 128 countries and 3150 cities mapped. In India specifically, over 95% of India 5G deployment runs through the Lepton 3D dataset, which is the scale and depth of coverage RF planning teams plan their rollouts on.

Physical site surveys are exactly the cost rfMAP is built to remove. With sub-meter 3D data you run line-of-sight and Fresnel analysis on the desk and reduce the number of field visits a rollout needs, which keeps both budget and timeline under control. For fixed wireless access this pairs with the neo360 5G FWA module.

Yes. Beyond the off-the-shelf catalogue, Lepton’s GIS services arm produces made-to-order coverage through photogrammetry and image processing techniques, so a new area can be modelled to the same layer stack when it is not already mapped. Talk to the team to scope a made-to-order area.