InfraBase

Starting point / motivation

Building footprints (BFPs) are fundamental information for different stakeholders (e.g. policy, spatial planning, insurance, etc.) but the production methods and resulting cost are currently not meeting the rising market demands. As a result, of the currently 219.361km² global built-up areas only about 12% are mapped with building footprints available via platforms such as Open Street Map (OSM).

The predicted urban growth is +86% until 2030, rapidly intensifying the demand. New machine learning based object recognition methods, open source data availability and IT driven digital access through the Copernicus Data and Information Access Services (DIAS) provide now the opportunity to substitute the prohibiting components.

Contents and goals

The goals of infraBASE are to develop and verify the algorithmic components to enable purely machine interaction-based Copernicus data access, detection and delineations of buildings.

Expected results

If infraBase proofs successful, the targeted production costs may be reduced by a factor of 10. The foreseen methodological advances shall provide the critical components required for the development of a future Copernicus DIAS third party service applicable by demand carriers worldwide.

Coordinator

GeoVille Information Systems and Data Processing

Project partner

• University of Applied Sciences Kufstein Tirol Bildungs-GmbH
• St. Pölten University of Applied Sciences Forschungs-GmbH

GeoVille Information Systems and Data Processing
M.Sc. Magdalena Steidl
Sparkassenplatz 2
A-6020 Innsbruck