Seattle - city and surroundings Low-poly 3D model

cgtrader

This 3D Seattle city model, based on GIS data from September 2019, boasts a precise, scale-to-scale representation. With file units in meters and a 1:1 scale, it's georeferenced for real-world accuracy. Boasting 100% building coverage from 125,192,184 building footprint polygons across all U.S. states, this is the only product on the market offering such comprehensive coverage. Choose from five different scene sizes: 140x100km, 80x60km (including Seattle and its surrounding area), 40x30km (encompassing the full city extent including airport), 15x15km (focused on Seattle-Tacoma International Airport), and 6x6km (downtown city center). Formats available include MAX (V-Ray and Standard materials), FBX, OBJ, DAE, UnityPACKAGE (upon request), BLEND, SKP (upon request), and 3DM (Rhino 3D upon request). Key benefits of this model include 100% building coverage, administrative boundaries as polygons, easy-to-edit geometry, split objects by type, realistic low-poly trees and street lamps, road and railway splines for traffic animation, and public transport stop placeholders. Suitable for visualization, AR/VR, real-time and game use, architecture, consulting, education, town and urban planning, real estate and property development. The scene is structured by layers, with objects split by type and named properly. Building categories include residential, commercial, industrial, educational, public, sports, parking, transport, religious, and unclassified. Road types range from highways to service roads, railway types span from high-speed trains to abandoned tracks, and land use covers residential, rural, public, industrial, construction, agriculture, vegetation, land, water, coast, lake, river, stream, airport buildings, apron, taxiway, runway, marking, and terrain (available upon request for an additional fee). Support is available 24/7, with free product updates featuring the latest GIS data. Additional services include requesting other cities or areas (same-day delivery) and adding terrain based on SRTM or LIDAR elevation data (3 to 5 levels of detail optimized).