rfMAP 3D city model: extruded buildings and stepped vegetation over real aerial imagery

rfMAP · 3D Geodata for Wireless Network Planning

Plan 5G on a 3D map, not a 2D guess.

Buildings, vegetation, terrain and clutter at sub-meter accuracy, so line-of-sight is measured and not assumed.

Why RF teams plan on rfMAP

5G cells reach 300 to 500m and die on line-of-sight. You cannot plan that on a 2D guess. rfMAP gives you the real surface RF signals actually meet.

Authentic geo-data, not estimated

Vegetation in stacked polygons and per-building multi-polygon detail extracted from high-resolution multi-stereo satellite imagery, the real surface RF signals actually meet.

Sub-meter precision

Survey-grade accuracy for line-of-sight and micro-mapping, so small-cell and 5G placement decisions hold up against drive-test reality.

The complete layer stack

3D buildings, 3D vegetation with heights, 4D bridges, DTM, DSM, 2D vectors and clutter up to 35 land-use classes, every layer an RF model needs.

Works with every planning tool

Vendor-neutral output that feeds all major RF planning tools, drive-test equipment and GIS platforms, so it slots into the workflow you already run.

Why 3D matters

One sector, predicted twice.

The same 720 by 600 m extent, the same antenna. Panel A predicts on bare 30 m terrain. Panel B predicts on the rfMAP 3D surface: buildings, vegetation heights and 35-class clutter at 1 m. The point the terrain model accepts sits 23 dB deep in the shadow of a 24 m block, the kind of miss that only surfaces as a failed drive test after build.

rfMAP · Coverage prediction · RSRP
DEL-SW-0447 · sector C2 · band n78, 3,500 MHz · 100 MHz TDD
antenna 27.5 m AGL · azimuth 45° · HBW 65° / VBW 7.5° · tilt 2° mech + 4° elec · EIRP 76 dBm
RSRP at 1.5 m · 1 m bin · run 08 Aug 2026 · rfMAP rev 2026-07 · same 720 × 600 m extent, both panels
23 dB MISS AT PT-17
2D −89 dBm · 3D −112 dBm

A · Terrain-only model DTM 30 m, no structures

216 m 220 m 224 m structures not modeled (dashed) −71 −80 −90 −99 −108 PT-17 −89 dBm N 0 100 200 m DEL-SW-0447 C2 · AZ 45° · ANT 27.5 m AGL

B · rfMAP 3D surface buildings + vegetation + 35-class clutter, 1 m

street canyon 216 m 220 m 224 m CANOPY 14 m 24 m 16 m 48 m DENSE URBAN OPEN −71 −80 −110 −107 PT-17 −112 dBm extent 720 × 600 m · bin 1 m
RSRP ≥ −75 dBm −75 to −85 −85 to −95 −95 to −105 below −105 structure shadow, no service
The terrain-only model accepts PT-17 at −89 dBm. On the 3D surface the same point sits 23 dB deeper, in the shadow of the 24 m block beside it. Caught here, that is a moved site. Caught in a drive test, it is a redesign after build.
Fig. 1 · RSRP prediction for one sector, terrain-only model (A) against the rfMAP 3D surface (B). All sites, identifiers, geometry and signal values are illustrative and describe no real network.

The data itself

The surface those predictions run on.

Every rooftop, tree line and street canyon in this model is geometry an RF signal has to clear. This is what your planning tool sees when it plans on rfMAP.

SmartSignal

Model the network before you touch the field.

rfMAP is the surface; SmartSignal is what plans on it. Set a mast height, a beam width and an azimuth, and SmartSignal traces line of sight across the 3D model to mark every building in range as reachable or blocked. The coverage prediction above is exactly this kind of modelling, run on rfMAP data. SmartSignal is sold with rfMAP and also on its own.

Feasibility per building

Line of sight traced against real building heights, so a result belongs to a specific premise rather than a coloured polygon.

Site inputs you can change

Raise the mast, widen the beam or turn the sector, and the served set is recomputed in the room.

Blocked premises shown

What a site will never reach is a result too, and it is what keeps unreachable addresses out of the rollout plan.

Sold together, or alone

rfMAP supplies the 3D surface the trace runs on. SmartSignal also runs on 3D city data you already own.

Coverage, modelled live from the site out.

Stand up a site on the twin and watch FWA and FTTX coverage propagate across the footprint, so the network you plan is the network you operate.

A network model you can actually trust.

SmartSignal keeps the twin matched to reality as the network grows and changes, so the model behind every decision is the current one. Test rollout and capacity changes on the twin before you commit them in the field, then plan maintenance and upgrades against an always-current picture of the access network.

Data behind wireless network planning and deployment for operators, OEMs and tower companies

Airtel
Huawei
Jio
ZTE
Afghan Wireless
Nokia
Zain

Trusted by Airtel · Reliance Jio · Vodafone Idea · Ericsson · Nokia · American Tower

Outcomes

The dataset behind the rollout.

rfMAP is high-precision 3D, 2.5D and 2D map data with the layers an RF model needs, buildings, vegetation heights, terrain and clutter, at the scale and accuracy a national 5G rollout runs on: 128 countries and 3,150 cities already mapped.

>95% of India 5G deployment runs on the Lepton 3D dataset
128 Countries mapped
3,150 Cities mapped
35 Land-use clutter classes

Get started

See rfMAP on your rollout area.

Bring a city or a coverage footprint and our team will show you the 3D layers your RF planning tools can consume, line-of-sight and clutter included.