Unearthed Sydney 201726 Aug - 30 Aug
From Idea to Prototype on Resource Challenges in just a Weekend
This competition has finished.
Seamless visualisation of multiple complex geological models
Currently there is no convenient way to view and share numerous complex 3D geological models and raster images. We believe that there is an opportunity to develop an open source solution using modern technologies that will allow users to visualise these 3D datasets through a functional interface.
This solution would ideally have the ability to be accessed through numerous platforms with a high level of interoperability, so that people can seamlessly transition between different models and imagery at certain scales. The hope is that this product could then be utilised by the wider geological community, and allow users to contribute and maintain the underlying data similar to how the OpenStreetMap project works.
This community based approach would help to increase the amount of available quality data across NSW, but it also has the potential to expand the coverage of the datasets to include national or even international models and imagery.
The Geological Survey of NSW produces a wide range of state-wide, basin and local scale geological models and raster images, as do a large number of private companies and universities. These datasets come in wide range of formats, scales, resolutions and file sizes, and also retain XYZ attributes so they can be visualised in 3D.
Geoscientists need to be able to easily visualise geological models and raster imagery as part of their day-to-day work. Typically this type of data is viewed through proprietary software installed on the users’ desktops (client-side). However performance issues arise when trying to view numerous models of differing scale at the same time using this type of software.
Being able to store and visualise multiple types of data, while also having the ability to seamlessly interrogate the best information at multiple scales through a highly interoperable environment would be highly advantageous. This would allow users to investigate data more effectively, saving time and effort.
Potential Areas to Consider:
•Methods to merge mesh models together into one singular output.
•Utilising cloud services to store, process and possibly render models.
•Possible applications for emerging technologies such as WebAssembly, GPU processing and “big data” platforms.