XPlanung
Import XPlanung-compliant binding land-use plans in XPlanGML, identify them on the 2D map and use extruded plan content in the 3D view.
Core product platform
The MapTerra AI-Viewer connects data, timelines and specialist workflows.
A browser-based platform for managing, processing, visualising and analysing point clouds, imagery, planning data, city models, BIM and GIS.
One shared data space
Multimodal 2D and 3D views
Base maps, orthophotos, high-resolution imagery, panoramas, point clouds, models and specialist layers remain spatially connected.
Map, image, point cloud and model in sync
Users can move directly from a map position to the corresponding image or 3D view. Point clouds and imagery from a capture run are linked through layers. Videos generated from image sequences can also play in sync with the spatial position in the point cloud.
- 2D base map and free 3D navigation
- 360° panoramas and tiled high-resolution imagery
- Linked point clouds and image positions
- Overlaid GIS, CAD, BIM and AI layers
CityGML, CityJSON and 3D Tiles
Render municipal 3D city models and large 3D Tiles packages efficiently, select individual objects and inspect their attributes.
History overview
Compare captures from different dates directly
Multi-temporal comparison displays two epochs side by side. Zoom and pan remain linked; the selected dates filter imagery, point clouds, vector features, BIM models and detections in each pane.
- Comparison in synchronised 2D panes
- Optional four-quadrant 3D comparison
- Construction progress and as-built changes
- Recurring surveys and condition development
Measurement and analysis
Volumes against an area, DTM or another point cloud
Cut, fill and net volume can be calculated inside a freely drawn or existing polygon.
- Automatically inferred reference plane
- Fixed elevation or DTM raster
- Comparison of two point-cloud surfaces
- Cut, fill, net, area and coverage
- Heatmap of elevation or difference distribution
- Stockpiles, excavation and earthworks progress
Design and as-built
Combine BIM models, point clouds and measurements
Georeferenced BIM models are displayed together with captured reality. Visibility and opacity can be controlled for each file.
BIM
Element properties
Inspect BIM element type, GUID, name, description and property sets directly on a selected component.
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Mixed snapping
Measure distances, areas, angles and azimuths on BIM surfaces, point clouds or a combination of both.
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Design-to-reality checks
Fade design models over the as-built point cloud and measure clearances between model and captured reality.
Working in the project
Inspect, document, digitise and export
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Layers and attributes
Configure, toggle, label and identify layers, and search datasets by attribute values.
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Spatial notes
2D and 3D markers with notes, custom fields, attachments and expiring share links.
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Digitisation
Capture points, lines and polygons directly in imagery or point clouds, edit attributes and export GIS data.
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Access and security
Project-specific users, roles, groups, MFA and audit logs for accountable collaboration.
Data and systems
Open formats and preconfigured camera profiles
The AI-Viewer is not tied to a capture vendor. Additional cameras can be configured by defining image size, metadata columns, delimiter, projection and orientation.
JAWESO Panora PLJAWESO Panora Pro PLTrimble MX2Trimble MX9Trimble MX50Trimble MX60Trimble MX90NavVis VLXLadybug 5RIEGL VZ-600iXGRIDSLeica Pegasus
Product and company names are trademarks of their respective owners. Their mention describes supported data sources.
Point cloudsLAS, LAZ
XPlanungXPlanGML
City modelsCityGML, CityJSON, Cesium 3D Tiles
BIM / CADIFC, DXF, LandXML, OBJ, GLB
GISSHP, GPKG, GeoJSON, WMS, WFS
Raster and imageryGeoTIFF, orthophotos, panoramas, single images
Your data. One shared workspace.
We will show how your existing datasets and workflows can be brought together in the MapTerra AI-Viewer.