What problem does it solve?
Building realistic terrain in Unreal Engine 5 from real-world locations normally requires manually sourcing elevation data, converting formats, and guessing landscape scale settings. This Skill automates that pipeline by downloading Mapbox elevation tiles server-side and producing UE5-ready 16-bit PNG heightmaps, satellite reference images, and river/lake/ocean spline data from any longitude and latitude.
Core Features & Use Cases
- Heightmap Generation: Preview elevation statistics, then generate 16-bit PNG heightmaps with suggested Z and XY scales so the imported landscape matches real-world geography.
- Satellite Reference Images: Download satellite, topo, or street map images of the same area and attach them for visual analysis to guide material and painting decisions.
- Water Feature Extraction: Fetch rivers, streams, lakes, and oceans as origin-centered UE5 coordinate splines (
ue5_points / ue5_rings) saved as JSON for landscape spline creation.
- Use Case: Ask for a landscape of Mount Fuji and receive a correctly scaled heightmap (e.g., XY scale 1714, Z scale 741), a satellite image for texturing reference, and water splines ready to import via the landscape skill.
Quick Start
Ask the AI to create a landscape from the terrain around Mount Fuji using real-world elevation data.