This classified airborne LiDAR point cloud tile from the USGS 3DEP provides precise elevation data for the Seattle, Washington area. This dataset consists of a classified airborne LiDAR point cloud tile, capturing high-resolution topographic information for the King County region in Washington. As part of the 3D Elevation Program, the data provides accurate spatial coordinates and elevation values necessary for detailed site analysis and terrain modelling. The raw point cloud data is formatted for professional GIS and CAD environments, allowing for the extraction of ground surfaces, vegetation, and structural features. It serves as a foundational layer for large-scale urban planning projects, offering a comprehensive digital representation of the existing landscape and built environment.

The download is a 2.9 MB file containing .LAZ files.

Professionals can integrate this LAZ file directly into GIS software, civil engineering platforms, or point cloud processing suites. Users should verify the coordinate reference system and projection parameters upon import to ensure proper alignment with existing project files. The data is suitable for generating digital terrain models, performing volumetric analysis, or creating base maps for site planning. Once loaded, the point cloud can be filtered, classified, or decimated to manage system performance while maintaining the required level of detail for specific project stages.

This LiDAR dataset is essential for architects, urban planners, and civil engineers working on large-scale site developments in the Seattle metropolitan area. It is particularly valuable during the feasibility and master planning stages, where accurate topography and existing site context are required. Professionals use this data to conduct site assessments, environmental impact studies, and infrastructure planning. It pairs effectively with BIM workflows to establish a contextual site model, facilitating more informed design decisions and accurate project documentation for complex urban or regional landscape projects.