GeoVisionary

Assess and interpret layered data sets to build a complete picture of landscape scale scenarios. Developed in collaboration with the British Geological Survey.

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benefits of geovisionary

The essential tool for every geoscientist

Built for the modern geoscientist

Developed in collaboration with the British Geological Survey, GeoVisionary specialises in the visualisation of disparate data sets allowing different disciplines to collaborate around a single tool in the same spatial context.

Virtual fieldwork for targeted operations and better results

Plan, scope and focus field operations, identify risks to ensure effective use of time on the ground. Onsite teams have access to the most complete information and can update local colleagues and remote experts on findings and operations.

Easily integrate external data sources

Integrate very large volumes of data from multiple sources, allowing a greater understanding of diverse spatial datasets. Blend multi-resolution terrain from different sources to create instant slope and aspect maps.

Inform and engage your audience

No matter what the background is of your audience, you can communicate complex and multi-layered scenarios widely and clearly.

Visualise without writing code

GeoVisionary is designed with an intuitive user interface. Geoscientists can work in the scene they are creating directly, getting immediate results.

Live environmental monitoring

Receive and assess realtime updates from environmental monitoring equipment and databases such as river flow, seismic sensors or GPS data tracks from vehicles and aircraft. A context-rich view allows you to explore possible outcomes and counter-measures.

Unlock VR superpowers for your organisation

Assoc. Prof. Dr. Rohayu Che OmarDirector at UNITEN’s Institute of Energy Infrastructure

"These techniques are especially valuable in limited access areas, such as jungles. Extra details were added to the virtual GeoVisionary models using laser scanning techniques prior to model simulation analyses. UNITEN and TNB Grid Maintenance then will be able to monitor the site conditions virtually, over time."

Gustav JanssonLulea’s Associate Senior Lecturer in Industrialised Construction

“In both teaching and research within GeoMining we often struggle to understand and communicate the 3D shapes that are in the ground from 2D drawings.  VR helps us to visualise. ”

key feature

Visualise entire landscapes from macro to millimetre scale

From laser scan to national terrain model in one visualisation. Users can have access to fine detail grain size textures without losing the ability to pan out to macro scale overview.

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product features

GeoVisionary has been used to map the surface of Mars as well as sea-bed geology

Illustration Design Review

Billions of data points

Bring together point clouds of billions of points and combine these with other data sets, including GIS software, LiDAR and other data-sources for intuitive visual representations of complex phenomena.

Illustration Design Review

Comprehensive toolset for virtual field work

Measure the orientation of dip slopes, fractures and other features and create a profile of the terrain and any other models in the visualisation. Change terrain illumination and sun direction to enhance ground features.

Illustration Design Review

Enrich visualisations with live data feeds

Incorporate web services, feeds from local sensors or GPS data from onsite personnel for an active site management tool.

case study

GeoVisionary is part of Malaysia’s virtual geo-hazards monitoring and asset management system

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Import and connect to content from anywhere

Our software can import data from all major tool-chains in the polygon, CAD modelling and 3D scanning field.  An open API allows you to supplement this with integrations to any other tool or dataset you desire.

Digital elevation models

Build up virtual landscapes for geomorphology, flood modelling and land-use studies from virtually any DEM format type.

GIS

From most commonly known sources and file types: SHP, KML, GPX, GML and many more.

OBJ

Common format for textured mesh data. Often created by drone based mapping.

GoCad importer

Commonly used exchange format for geological model data.

Seg-Y

Import 2D seismic sections as per the standard laid down by he SEG Technical Standards Committee.

.. and many other

Imagery from satellites or aircraft, many point cloud formats, borehole data, incorporate MCAD formats. Please get in touch for more details.