V3Geo: a cloud-based repository for virtual 3D models in geoscience

Buckley, Simon J.; Howell, John A.; Naumann, Nicole; Lewis, Conor; Chmielewska, Magda; Ringdal, Kari; Vanbiervliet, Joris; Tong, Bowei; Mulelid-Tynes, Oliver S.; Foster, Dylan; Maxwell, Gail; Pugsley, Jessica

doi:https://doi.org/10.5194/gc-5-67-2022

Articles | Volume 5, issue 1

https://doi.org/10.5194/gc-5-67-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

Virtual geoscience education resources (SE/GC inter-journal...

https://doi.org/10.5194/gc-5-67-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 5, issue 1

Research article

|

09 Mar 2022

Research article |

| 09 Mar 2022

V3Geo: a cloud-based repository for virtual 3D models in geoscience

Simon J. Buckley, John A. Howell, Nicole Naumann, Conor Lewis, Magda Chmielewska, Kari Ringdal, Joris Vanbiervliet, Bowei Tong, Oliver S. Mulelid-Tynes, Dylan Foster, Gail Maxwell, and Jessica Pugsley

Data sets

Virtual 3D Geoscience V3Geo https://v3geo.com

Short summary

Virtual 3D models are becoming fundamental to support field-based geoscience, with drones and image-based modelling providing rapid workflows for generating 3D datasets for mapping and education. Here, we present V3Geo, a cloud-based repository to facilitate 3D model searching, reuse, sharing and visualisation. We highlight the potential value of V3Geo for the geoscience community with examples of scenarios in publication and teaching where the repository is already being employed.