EarthDefine Clutter 3D is our top-of-the-line 20-class RF clutter dataset covering the entire continental US at 1-meter resolution. You get a rich 5-layer product with the same fidelity in rural Wyoming as in downtown Chicago, and no gaps. Every pixel carries an exact height value derived directly from LiDAR, to remove the need for estimations.
Plan with confidence, knowing that you are getting the highest value.
Toggle the layers below to explore all five datasets included in every order. If you'd prefer to work with the data directly, download a free sample and load it into your platform of choice.
Most clutter datasets were designed for land use monitoring, not RF engineering. Class boundaries don't reflect how signal behaves, heights are estimated, and resolution is too coarse to distinguish a building from the tree line behind it.
Our 20-class schema is built differently: every class reflects RF propagation behavior, every pixel carries a LiDAR-measured height value, and the schema spans the full range of environments you'll encounter across the continental US. From open rural terrain to dense urban cores, no gaps. Explore the classes below to see exactly what you're working with.
Hover any row below to preview
| Clutter Class | Description |
|---|---|
| 10. Water | Sea, ocean, river, pond, lake (excludes swimming pools) |
| 20. Bare Earth | Soil, sand, rock, clearings |
| 30. Vegetation 4 classes | Trees, shrubs, ground cover, crops |
| 31. Ground-level Vegetation | Fields, grass, ground cover, low crops, turf |
| 32. Low Vegetation | Shrubs and herbaceous |
| 33. Tree, Low Density | Part of small clump |
| 34. Tree, High Density | Part of large contiguous canopy |
| 40. Residential Buildings 3 classes | Single/multi-family housing at varying densities |
| 41. Residential, Low Density | Isolated structures (e.g., rural residential) |
| 42. Residential, Med. Density | Buildings forming small clumps |
| 43. Residential, High Density | Buildings forming large contiguous clumps |
| 50. Commercial Buildings 3 classes | Office, mall, institution, community facility |
| 51. Commercial, Low Density | Isolated buildings not part of clump, e.g., rural |
| 52. Commercial, Med. Density | Buildings part of small clump, e.g., suburban corridor |
| 53. Commercial, High Density | Buildings part of large clump, e.g., CBD |
| 60. Industrial Buildings 3 classes | Factory, plant, heavy goods storage |
| 61. Industrial, Low Density | Isolated industrial structures |
| 62. Industrial, Med. Density | Buildings part of small clump |
| 63. Industrial, High Density | Buildings part of large clump |
| 70. Transport & Impervious 5 classes | Paved surfaces and transportation corridors |
| 71. Parking | Surface parking lots and structures |
| 72. Roads | All paved road surfaces |
| 73. Railways | Rail corridors and associated structures |
| 74. Airports | Runways, taxiways, and airport grounds |
| 75. Other Impervious | Paved or hardened surfaces not classified elsewhere |
At 10m resolution, a tree and the building behind it can occupy the same pixel. Height values are estimated rather than measured. Your propagation model is only as accurate as your clutter data.
Here's how a typical 10m product compares to EarthDefine's 1m product for the same area.
EarthDefine's Clutter 3D is built to solve RF engineering problems: 1m resolution, LiDAR-measured heights, and 20 classes that reflect how signal actually interacts with the environment.
At 10m resolution, a tree canopy and the building behind it collapse into a single pixel, with an estimated height that reflects neither. Above 5 GHz, where almost any clutter feature acts as a high-loss obstacle, that simplification breaks down. In suburban and exurban terrain with moderate-to-dense tree cover, coarse clutter typically introduces 2–4 dB of error in Reference Signal Received Power (RSRP) prediction.
Small improvements in clutter accuracy can materially change RF outcomes.
A 2–4 dB error is often the difference between predicted coverage and real-world performance.
EarthDefine's 1m clutter resolves obstructions individually. Trees, buildings, and ground features are individuated rather than averaged, and each class carries a LiDAR-measured height. The result is a propagation model that reflects what the signal actually encounters, not merely an averaged approximation of it.
Illustrative scenario over a 1.2 km C-band link in suburban tree-heavy terrain. Specific values may vary.
In real deployments, the difference becomes immediately tangible:
• Links that actually perform in the field, not just on screen • Site candidates that can be confidently eliminated through accurate line-of-sight analysis • Installation outcomes that closely match prediction with fewer repeat truck rolls, and • Reliable decision-making even in dense, tree-heavy terrain where most propagation models begin to fail.
At this fidelity, you're removing one of the largest sources of error in RF planning.
EarthDefine Clutter 3D is available as a seamless, ready-to-deliver dataset for any area within the United States. No stitching, no gaps, no waiting for data production.
3,125,942 square miles
Covering contiguous U.S., Puerto Rico, and the U.S. Virgin Islands.
NAIP acquires roughly half the continental US every year. As each new cycle completes, EarthDefine produces updated clutter data for affected areas, so your models always reflect the latest available imagery, not a legacy snapshot. Every dataset includes source imagery metadata to ensure that your predictions are reproducible and defensible.