Building Footprints

Ecopia Building Footprints are a source of vector-based information that boasts national-scale coverage and best-in-class quality. Ecopia extracts building footprints across the globe while maintaining human-level accuracy and a production capacity exceeding 15 million buildings per month.

Case Study: Supporting PSMA's Geoscape with 20M Footprints - 7.6M km²

Ecopia Geocoding

Ecopia’s building based Geocoding product can be relied on to determine the exact location of the primary building at every address. Whereas traditional address based analysis often rely on parcel based centroids or street-number interpolation, Ecopia’s high accuracy solution can be leveraged for strategic decision-making at scale.

Ecopia Rapid Change Detection

Ecopia Rapid Change Detection service delivers location-based analytics with a 24-hour turn around time to accelerate decision-making in emergency situations. Ecopia Rapid Change Detection can determine variations in imagery on a pixel-by-pixel basis and is offered both on-demand and at pre-determined time intervals, enabling precise change detection analytics on scales never thought possible, when you need it most.

Ecopia 3D

Ecopia 3D Buildings add a new dimension to Ecopia Building Footprints. By layering on multi-floor height information we create 3D building models at a national-scale faster, more efficiently, and at more frequent intervals than previously possible.

Land Classification Maps

Ecopia Land Classification Maps offer large-scale high accuracy contextual information regarding a multitude of features that are discernible from geospatial imagery. Ecopia’s vector-based Land Classification Maps can include a wide range of features such as impervious surfaces, roads, railways, airports, sports fields, forests, grasslands, agricultural land and more.

Ecopia Roads

Ecopia Roads are a comprehensive vector-based road centerline product. By applying our core extraction technology, we are able to produce high-accuracy road centerlines, road type and road width classification at large-scales across both urban and rural landscapes.