Digital Twins.
Digital twins are changing the way facilities, cities, even entire counties approach the management of infrastructure and environment.
Resolution Redefining What’s Possible.
This digital twin reflects a broader capability built on ultra high-resolution 1-inch imagery, delivering detail where assets, surface conditions, and subtle changes become consistently visible and measurable. At this fidelity, digital twins move beyond visualization to support analysis, planning, and decision-making. From infrastructure assessment to site-level context, this approach shows what is possible when data quality is treated as the starting point.
Colorado Springs (2025, completed at 1″ resolution)
How to work with Digital Twin Models.
Digital twins can be viewed using 3D GIS (Geographic Information Systems) such as Esri, and computer aided design (CAD), as well as other software used in gaming and viewing. The Digital Twin data can be combined with other data modeling systems to simulate energy and water consumption, analyze thermal and other emissions, simulate traffic flows and pedestrian movement, and analyze areas at risk from natural disasters.
Jacksonville, Florida (2025, completed at 3″ resolution)
How digital twins are created.
Sanborn creates its Digital Twin models using a combination of remote sensing data, high-quality aerial photography, and advanced machine learning algorithms that can detect and model everything from buildings and streets to vegetation and topography. Our approach is scalable to facilities, campuses, cities or regional modeling.
Sanborn Quick-Est ®.
Sanborn Quick-Est® is a capability that can be used to calculate the area of a plot of land or rooftop, or other feature type, from high resolution imagery and other forms of geospatial data. The Quick-Est modeling capability is in part based on a Sanborn-patented process for generating 3D models. With Quick-Est, your field teams and GIS analysts can make rapid calculations that will streamline their spatial analysis and speed up their workflows.
