Articles | Volume 19
Adv. Sci. Res., 19, 13–27, 2022
https://doi.org/10.5194/asr-19-13-2022
Adv. Sci. Res., 19, 13–27, 2022
https://doi.org/10.5194/asr-19-13-2022
 
02 May 2022
02 May 2022

Using machine learning to produce a cost-effective national building height map of Ireland to categorise local climate zones

Eoghan Keany et al.

Viewed

Total article views: 997 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
909 81 7 997 5 7
  • HTML: 909
  • PDF: 81
  • XML: 7
  • Total: 997
  • BibTeX: 5
  • EndNote: 7
Views and downloads (calculated since 02 May 2022)
Cumulative views and downloads (calculated since 02 May 2022)

Viewed (geographical distribution)

Total article views: 890 (including HTML, PDF, and XML) Thereof 890 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 20 Sep 2022
Download
Short summary
This work used machine learning to produce the first open source building height map of Ireland. This map is intended to more accurately determine Local Climate Zones for use in the underlying physiography dataset in the HARMONIE AROME numerical weather prediction model.