3D Globe Visualisation

Overview#

When a regional air-defence command centre needs to track a fast-moving aerial contact climbing through restricted airspace over mountainous terrain, a flat 2D map cannot accurately convey altitude, slope, or radar line-of-sight. The 3D Globe Visualisation module embeds CesiumJS into the platform, providing a high-precision virtual globe that renders dynamic 3D content, elevation models, and satellite imagery at planetary scale. All coordinates are anchored to the WGS84 ellipsoid, eliminating the distortions that degrade situational awareness on projected maps.

The module is designed for strategic command centres that must simultaneously track intercontinental flight paths, monitor low-earth-orbit satellite constellations, assess radar shadow zones across complex terrain, and replay historical events with accurate temporal positioning. Time-dynamic scenes, future trajectory projections, and historical playback are all driven by CZML, an open JSON-based format native to CesiumJS, ensuring that every visualised event is precisely timestamped and auditable.

Key Features#

• Global 3D Terrain: Seamless streaming of worldwide elevation models and high-resolution satellite imagery draped onto a WGS84 ellipsoid, preserving true altitude relationships across the entire operational theatre.
• Real-Time Entity Tracking: Smooth visualisation of thousands of simultaneous dynamic entities, including aircraft, unmanned aerial systems, and surface vessels, each rendered at correct altitude with heading and orientation vectors.
• Volumetric Airspace Rendering: Flight corridors, restricted airspace polygons, radar coverage domes, and sensor detection envelopes are displayed as true 3D volumes rather than flat overlays, revealing coverage gaps and overlap zones immediately.
• CZML Time-Dynamic Scenes: Native support for CZML enables historical event playback, current live feeds, and future trajectory prediction within a single timeline-controlled view.
• 3D Tiles Streaming: High-performance streaming of photogrammetry meshes, lidar point clouds, building models, and classified terrain annotations using the OGC 3D Tiles standard, enabling detail-on-demand without pre-loading entire datasets.
• Multi-Layer Data Draping: Geospatial raster and vector layers, including imagery from WMS and WMTS services, are composited onto the globe in configurable layer stacks with per-layer opacity and blend controls.
• Line-of-Sight and Horizon Analysis: On-demand computation of sensor line-of-sight corridors and radio-frequency horizon distances over real terrain, supporting communications planning and sensor placement decisions.
• Orbital and Trajectory Visualisation: Satellite orbits derived from Two-Line Element sets and ballistic trajectories are rendered as full three-dimensional arcs, with ground-track projections and coverage footprint cones.

Use Cases#

• Air-defence operations centres tracking incoming aerial contacts can visualise radar coverage volumes and intercept vectors in three-dimensional space, coordinating surface-to-air responses against targets at any altitude.
• Space command cells monitoring satellite constellations use orbital arc visualisation and conjunction analysis to predict close-approach events and assess coverage gaps over priority regions.
• Search-and-rescue coordination centres overlay sensor sweep areas and last-known-position data on accurate terrain to optimise resource tasking across mountainous or maritime environments.
• Border-security agencies combine low-level radar returns, airspace restriction zones, and historical incursion tracks on the globe to identify patrol gaps and anticipate future crossing points.
• Critical-infrastructure protection teams model sensor coverage around energy facilities, assessing dead-ground areas introduced by terrain and built structures to guide physical security investments.
• Training and exercise planners replay historical events or inject scripted scenarios into a live globe view, allowing operators to practise responses against realistic three-dimensional threats.

Integration#

The module connects to live telemetry sources, including ADS-B and Mode S transponder aggregators for aircraft, Two-Line Element feeds for satellite tracking, and radar-track processors for uncooperative contacts, translating all incoming data into CZML streams that the globe renderer consumes in real time. Raster imagery and vector overlays are fetched from OGC-compliant WMS and WMTS endpoints, and large three-dimensional datasets such as photogrammetry captures or classified point clouds are served via OGC 3D Tiles tilesets hosted on any standards-compliant tile server. The visualisation layer integrates with the platform's alerting and entity-management services so that operator annotations, threat assessments, and tasking decisions made in the globe view are immediately reflected across other platform modules without requiring manual data re-entry.

Open Standards#

• OGC 3D Tiles 1.1: An Open Geospatial Consortium community standard for streaming heterogeneous three-dimensional geospatial content; the module uses it to serve photogrammetry, point clouds, and instanced 3D models at scale.
• CZML (Cesium Language): An open JSON-based schema for describing time-dynamic graphical scenes on a virtual globe; used for all animated entity tracks, trajectory arcs, and historical playback sequences.
• WGS84 (EPSG:4326): The World Geodetic System 1984 ellipsoidal datum, used as the canonical coordinate reference system for all spatial positioning throughout the module.
• OGC Web Map Service (WMS) 1.3.0: An OGC interface standard for serving georeferenced map images over HTTP; the module fetches raster imagery layers from any conformant WMS endpoint.
• OGC Web Map Tile Service (WMTS) 1.0.0: An OGC standard for serving pre-rendered map tiles; used for high-performance basemap and imagery layer delivery.
• STANAG 4676 (NATO Track Data): A NATO standardisation agreement defining a common format for air-track and surface-track data exchange; track feeds conforming to this standard are ingested directly as entity sources.
• IETF RFC 7946 (GeoJSON): The IETF-standardised JSON encoding for geospatial features; vector overlays and zone boundary definitions are exchanged in GeoJSON before being projected onto the globe surface.
• ISO 19111 (Referencing by Coordinates): The ISO standard underpinning coordinate reference system definitions and transformations, ensuring that data from diverse sources is correctly reprojected before rendering.

Availability#

• Enterprise Plan: Included
• Professional Plan: Available as an add-on; contact your account team for access.

Last Reviewed: 2026-05-26