Building Footprint Extraction

Automated Methods for Urban Mapping and Asset Management

Extract accurate building outlines from LiDAR point clouds automatically. Essential for urban planning, insurance risk assessment, construction, and asset management.

Extract Building Footprints

What is Building Footprint Extraction?

Building footprint extraction identifies and delineates the ground-level outline of structures from geospatial data, producing vector polygons representing each building’s base area.

Urban Planning

Understanding built density and land use

Tax Assessment

Calculating building square footage for valuation

Insurance

Risk modeling, exposure analysis, claims processing

Emergency Response

Identifying structures in disaster zones

Telecommunications

Antenna placement and coverage modeling

Construction

Site surveys and as-built documentation

Why LiDAR is Ideal for Building Extraction

3D Precision — Centimeter accuracy distinguishing rooftops from ground level
Penetrates Partial Occlusion — Multi-return captures buildings under trees
Works Independent of Lighting — No shadows or sun angle issues
Separates Buildings from Vegetation — Classification eliminates false positives

Automated Extraction Workflow

01

Upload Point Cloud

Upload your LAS-format aerial LiDAR data from drone surveys, manned aircraft, or national programs.

02

AI Classification

Automatic classification identifies building points as a distinct class, separating them from ground and vegetation.

03

Download Vectors

Export building footprints as regularized polygons in DXF or Shapefile format for CAD/GIS use.

Create a FREE account now and start processing your point cloud

Get 2 GB of storage space and classify up to 10 hectares for free.