AI-powered 2D/3D land cover vector data for geospatial analytics, digital twins, and infrastructure planning

Ecopia AI's 3D Land Cover is an AI-derived geospatial dataset that classifies 15–75+ planimetric vector layers—including buildings, roads, driveways, sidewalks, tree canopy, water bodies, impervious surfaces, and agricultural features—extracted from high-resolution aerial imagery with >95% geometric accuracy. Every building receives height attribution, enabling full 3D representation for digital-twin workflows. Available off-the-shelf across 400+ US cities and nationwide, with planned expansion to 1.5 million km² (~87% of US population), and delivered via secure download in standard GIS formats (e.g., shapefiles). Designed for use in land use planning, climate resilience, flood modelling, stormwater management, risk assessment, broadband expansion planning, and urban analytics.
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Space data in
Processing
Data Fusion & Analytics
Combines data sources and applies analytics to uncover patterns.
Delivered as
Data Distribution

Ecopia AI
Uses artificial-intelligence to convert high-resolution imagery into high-definition vector maps, supplying up-to-date geospatial data layers for government, infrastructure, insurance and telecom decision-making.
2013
Founded
1-10
Team size
39
Country
Provides processed data via standardised channels (APIs, feeds).