Viewer
Learn how to use the Aura 3D viewer to visualize and interact with your geospatial data
The Aura viewer is a powerful 3D visualization environment built on Cesium that allows you to view and interact with point clouds, imagery, and vector data.
Viewer Capabilities
The viewer supports multiple data types and visualization modes:
- Point Clouds - COPC .laz files with customizable rendering options
- Raster Imagery - Orthophotos and oblique imagery with opacity controls
- Vector Data - GeoJSON and KML/KMZ files with styling options
- Geotagged Images - Photos with EXIF metadata and map markers
- Digital Grid Elements - Poles, towers, wires, spans, and crossarms
Guide Sections
Adding Data
Learn how to import point clouds, imagery, and vector data into the viewer.
Navigating the Map
Master the camera controls to pan, zoom, rotate, and tilt through your data.
View Options
Customize how point clouds are displayed with color modes, filters, and rendering settings.
Tools
Use measurement, annotation, and analysis tools to work with your data.
Supported Data Formats
| Format | Type | Description |
|---|---|---|
| COPC .laz | Point Cloud | Cloud-Optimized Point Cloud format for efficient streaming |
| GeoTIFF | Raster | Georeferenced imagery (orthophotos, DEMs) |
| GeoJSON | Vector | Feature collections with points, lines, and polygons |
| KML/KMZ | Vector | Google Earth format with placemarks and overlays |
| JPG/PNG | Images | Geotagged photos with EXIF location data |
Data Layers
All data in the viewer is organized into layers. Each layer can be:
- Toggled - Show or hide the layer
- Adjusted - Change opacity (transparency)
- Configured - Modify display settings specific to that layer type
- Deleted - Remove from the project
Access your layers through the left sidebar, where they're organized by type (Point Clouds, Raster, Vector, Images, Digital Grid).