Tag Archives: Virtalis

Matters relating to the company Virtalis and their visualisation technologies

3D visualisation of the Cambridgeshire Fenlands

Cranfield University recently received a NERC (Natural Environment Research Council) Big Data Capital Equipment Award (NE/LO12774/1) which provided for a state-of-the-art virtual reality suite comprising of a 3D projection system. This award also included a 3D software package called Geovisionary.

Geovisionary allows users to display a range of environmental, soils, topographical, geological and other geospatial data within a 3D environment. 3D models, for example, Google Sketchup models within Google Earth can also be imported in their native (.dae) format. It has particular appeal when disseminating and analysing environmental information and sets itself apart from other established software in that it allows the digitisation of features into 3D space.
Following ongoing research by the Cambridgeshire Geology Club and their Cambs Geosites Team (www.cambridgeshiregeologyclub.org), Cranfield were asked to produce and subsequently present 3D models of the Fenland edge landscape of Cambridgeshire. The Fen-edge is widely regarded as being the maximum limit of peat development, often indicative of the land between the 5 and 10m Ordnance Survey contours.

3D computer visualisation representation of the Cambridgeshire Fens in the GeoVisionary software suite.

3D computer visualisation representation of the Cambridgeshire Fens in the GeoVisionary software suite.

The fenland landscape has extremely subtle topography, with topographic highs struggling to reach 35-40m AOD. Therefore, a high-resolution digital elevation model was required for the analysis, as the Ordnance Survey’s open-source Terrain 50 and Panorama datasets couldn’t represent the landforms that were often only 10’s cm in height. Digital terrain models (DTM) for three case-study areas (Warboys, Whittlesey and Ely) were therefore produced using airborne LiDAR data provided by the Environment Agency’s Geomatics group. Data was initially provided in 2km grids in ESRI’s ASCII file format at 1m pixel resolution, as this represented the best data coverage of the areas. ArcGIS (v.10.2) was used to convert the ASCII format data into a raster format. The 2km2 raster tiles were then mosaiced to create a continuous surface for the three case-study areas.

With Geovisionary having its own file format (.vsi), a dedicated VSI converter, provided with the software was used to reformat the raster-based DTM so that it can be read into Geovisionary. The same applies to other geospatial layers which are imported into the model.


Ordnance Survey 1:25,000 scale mapping and the British Geological Survey’s 1:50,000 scale bedrock and superficial digital geology maps were draped onto the DTM in the Geovisionary environment. These datasets were sourced from Edinas DigiMap service (http://digimap.edina.ac.uk/digimap/home). The National Soil Map (NATMAP), in the custody of Cranfield University, was also draped over the DTM.

3D computer visualisation representation of a Bronze Age Barrow in the Cambridgeshire Fens in the GeoVisionary software suite.

3D computer visualisation representation of a Bronze Age Barrow in the Cambridgeshire Fens in the GeoVisionary software suite.

These models were recently showcased at the Cambridgeshire Geology Club’s ‘The geology and Landscape of the Fen Edge’ seminar at the University of Cambridge in September 2014. Here, the demonstration of the 3D models to a general public audience received an engaging and encouraging response. There is a significant advantage to using 3D visualisation software to communicate complex geomorphological and geological histories of the Cambridgeshire Fenlands to both the non-specialist and the specialist alike.

Environmental ‘Big Data’ Informatics – an Ecosystem Services Databank and Visualisation for Terrestrial Informatics

3D-Scanner_250

Cranfield University researchers Stephen Hallett and colleagues Ron Corstanje and Simon Jude have become recipients of research funding through the recent NERC ‘Big Data Capital Call’ to procure various scanners and software tools that will allow the Cranfield team to capture in digital form the various unique, natural environment ‘big data’ collections held at Cranfield University. In particular, this includes the WOSSAC (World Soil Survey Archive and Catalogue) facility, which holds tens of thousands of environmental resources and artefacts from some 280 territories worldwide (www.wossac.com). The scanning equipment will enable the liberation of these historical high-volume data, currently locked in analogue form on paper, film and tape as Open Educational Resources (OER) for research and learning and teaching in the UK and abroad. The equipment includes a high precision 3D laser scanner, an automated bookscanner, and a microfilm scanner, as well as additional computing server capacity. The award also includes a state-of-art ‘virtual reality’ suite comprising a 3D back projection system with tracking headsets and hands-free controllers for 10 delegates.

VR_Visualisation_250

Once scanned and digitised, the WOSSAC data and other related information can be drawn together in modelling and visualisation environments. Using the equipment, Cranfield University will build on its extensive expertise in the innovative handling of large quantities of complex spatio-temporal data on the environment, soils and land information, and will draw on a broad experience in decision-making and perception research, particularly in relation to scenario-driven environmental futures, exploring impacts from novel and emergent risks. Spatio-temporal data visualisation can provide a critical link between natural and physical sciences and social sciences/decision-makers and can lead to new insights. The visualisation ‘virtual reality’ environment, designed for the geosciences, will allow both the tools for exploration of multi-dimensional ‘big data’ as well as new and powerful means to convey results and analyses, and to communicate risk and uncertainty to potential beneficiaries of research.