Digital Twins generated from high-resolution imagery and LIDAR data deliver exceptional spatial accuracy—precise to within one inch—while maintaining cost-effective data collection methods.
This high-precision geospatial data serves as an ideal reference framework for correcting legacy GIS datasets, which often suffer from significant positional inaccuracies ranging from tens to hundreds of feet from actual locations.
Through systematic conflation processes, organizations can seamlessly integrate their existing asset inventories—currently managed within legacy GIS systems—with their true real-world positions. This integration is essential for creating reliable, actionable digital infrastructure records that accurately reflect physical asset locations and conditions.
