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UCF GeoLens

UCF GeoLens is an urban digital twin platform developed at the University of Central Florida. It provides an interactive 3D geospatial environment for visualizing, monitoring, and analyzing real-time and historical data layers across a city — from live traffic flows and air quality readings to CO₂ sensor networks and emergency management events.

The platform is built on CesiumJS for photorealistic 3D globe rendering and is deployed at geo-lens.net.


What Can You Do With GeoLens?

CategoryFeatures
Planning DataLand use classification maps for Orlando and Altamonte Springs
Live ObservationReal-time traffic, FDOT cameras, NY street cameras, AQI, and weather
UCF ResearchCO₂ sensor network, spatial interpolation, camera interoperability, emergency events
AnalysisBounding box / polygon tools with temperature heatmaps, weather alerts, river gauges, flood risk, SVI, aviation conditions
3D VisualizationGoogle Photorealistic 3D Tiles via Cesium Ion

Who Is This Documentation For?

  • Researchers & students at UCF who use GeoLens to analyze urban data
  • Developers extending or maintaining the platform
  • Stakeholders who want to understand what data sources and capabilities are available

Quick Navigation


Key Concepts

Urban Digital Twin

GeoLens is a digital twin — a live, synchronized virtual model of physical urban systems. Data from sensors, traffic APIs, weather services, and governmental datasets are fused onto a single 3D map to support research, planning, and situational awareness.

Bounding Box Analysis

Many analytical features are scoped to a user-defined geographic region. Draw a rectangle, polygon, or select a county/state boundary, then activate one or more analytical filters to fetch and visualize data within that area.

Live vs. Planning Data

The sidebar organizes features into two top-level categories:

  • Planning Data — static or infrequently-updated layers (e.g., land use zoning)
  • Live Observation — real-time feeds that update continuously

Open the App

The live application is available at https://geo-lens.net. You will need an account to access it — see Authentication for details.