Articles | Volume 24, issue 5
https://doi.org/10.5194/nhess-24-1681-2024
https://doi.org/10.5194/nhess-24-1681-2024
Research article
 | 
14 May 2024
Research article |  | 14 May 2024

The value of multi-source data for improved flood damage modelling with explicit input data uncertainty treatment: INSYDE 2.0

Mario Di Bacco, Daniela Molinari, and Anna Rita Scorzini

Viewed

Total article views: 1,234 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
944 223 67 1,234 106 60 60
  • HTML: 944
  • PDF: 223
  • XML: 67
  • Total: 1,234
  • Supplement: 106
  • BibTeX: 60
  • EndNote: 60
Views and downloads (calculated since 03 Nov 2023)
Cumulative views and downloads (calculated since 03 Nov 2023)

Viewed (geographical distribution)

Total article views: 1,234 (including HTML, PDF, and XML) Thereof 1,193 with geography defined and 41 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 21 Feb 2025
Download
Short summary
INSYDE 2.0 is a tool for modelling flood damage to residential buildings. By incorporating ultra-detailed survey and desk-based data, it improves the reliability and informativeness of damage assessments while addressing input data uncertainties.
Share
Altmetrics
Final-revised paper
Preprint