Advances in Science and Research
Advances in Science and Research
ASR
Articles | Volume 19
Articles | Volume 19
https://doi.org/10.5194/asr-19-13-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/asr-19-13-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 19
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, Geoffrey Bessardon, and Emily Gleeson

Viewed

Total article views: 3,051 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,716 291 44 3,051 35 38
  • HTML: 2,716
  • PDF: 291
  • XML: 44
  • Total: 3,051
  • BibTeX: 35
  • EndNote: 38
Views and downloads (calculated since 02 May 2022)
Cumulative views and downloads (calculated since 02 May 2022)

Viewed (geographical distribution)

Total article views: 2,921 (including HTML, PDF, and XML) Thereof 2,921 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 14 Nov 2024
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.
Read more