
Mountainous Terrain Landscape Dataset 001 provides a high-resolution 16-bit EXR height map for realistic topography generation. This terrain dataset features a complex mountain range covering a five-by-five-kilometre area. The package includes an accurate 16-bit EXR height map alongside matching colour and soil maps, ensuring high-fidelity results for large-scale site modelling. The topography exhibits jagged peaks, deep valleys, and natural drainage patterns, suitable for professional landscape simulations. Designed for precision, the asset avoids the need for manual sculpting or eyeballing, providing a reliable foundation for regional masterplanning or environmental visualisation. The raw data structure allows for seamless integration into various landscape engines, displacement modifiers, or mesh generation workflows.
The download is a 33.2 MB compressed archive containing .exr files.
Professionals can utilise this dataset by loading the 16-bit EXR file into a displacement modifier or a landscape generation node within their preferred 3D software. The height map drives the geometry, while the included colour and soil maps serve as base textures for material blending. Because the files represent a fixed five-kilometre square, users should ensure their plane geometry is scaled accordingly to maintain accurate proportions during the render process.
Ideal for regional masterplanning, environmental impact assessments, and large-scale architectural site visualisations, this dataset provides a realistic context for architectural projects situated in rugged or mountainous terrain. It is particularly useful for urban designers and landscape architects requiring accurate topography for site analysis and massing studies. When paired with high-quality vegetation assets and atmospheric lighting, it effectively establishes the scale and character of remote or elevated building sites, facilitating professional-grade site modelling in both commercial and residential planning stages.
Mountainous Terrain Landscape Dataset 001
Free
Public domain. Use commercially, modify and redistribute. No attribution required.
Covers 1 seat.