Articles | Volume 15, issue 19
https://doi.org/10.5194/gmd-15-7505-2022
https://doi.org/10.5194/gmd-15-7505-2022
Model evaluation paper
 | 
11 Oct 2022
Model evaluation paper |  | 11 Oct 2022

Estimation of missing building height in OpenStreetMap data: a French case study using GeoClimate 0.0.1

Jérémy Bernard, Erwan Bocher, Elisabeth Le Saux Wiederhold, François Leconte, and Valéry Masson

Download

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on gmd-2021-428', Anonymous Referee #1, 17 May 2022
    • AC1: 'Reply on RC1', Jérémy Bernard, 04 Jul 2022
      • RC2: 'Reply on AC1', Anonymous Referee #1, 08 Jul 2022
        • AC2: 'Reply on RC2', Jérémy Bernard, 14 Jul 2022
  • RC3: 'Comment on gmd-2021-428', Anonymous Referee #2, 08 Jul 2022
    • AC3: 'Reply on RC3', Jérémy Bernard, 14 Jul 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Jérémy Bernard on behalf of the Authors (18 Jul 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (02 Aug 2022) by Richard Mills
RR by Anonymous Referee #2 (07 Aug 2022)
RR by Anonymous Referee #1 (16 Aug 2022)
ED: Publish as is (03 Sep 2022) by Richard Mills
AR by Jérémy Bernard on behalf of the Authors (04 Sep 2022)
Download
Short summary
OpenStreetMap is a collaborative project aimed at creaing a free dataset containing topographical information. Since these data are available worldwide, they can be used as standard data for geoscience studies. However, most buildings miss the height information that constitutes key data for numerous fields (urban climate, noise propagation, air pollution). In this work, the building height is estimated using statistical modeling using indicators that characterize the building's environment.