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


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on gc-2021-30', Tobias Schmiedel, 15 Nov 2021
    • AC1: 'Reply to RC1', Simon Buckley, 02 Feb 2022
  • RC2: 'Comment on gc-2021-30', Fabio Crameri, 05 Dec 2021
    • AC2: 'Reply to RC2', Simon Buckley, 02 Feb 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to minor revisions (further review by editor) (04 Feb 2022) by Marlene Villeneuve
AR by Simon Buckley on behalf of the Authors (07 Feb 2022)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (08 Feb 2022) by Marlene Villeneuve
ED: Publish as is (09 Feb 2022) by Sam Illingworth(Executive Editor)
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.
Final-revised paper