Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 28, issue 6
Articles | Volume 28, issue 6
https://doi.org/10.5194/hess-28-1287-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-28-1287-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 28, issue 6
Research article
 | 
22 Mar 2024
Research article |  | 22 Mar 2024

Effects of high-quality elevation data and explanatory variables on the accuracy of flood inundation mapping via Height Above Nearest Drainage

Fernando Aristizabal, Taher Chegini, Gregory Petrochenkov, Fernando Salas, and Jasmeet Judge

Viewed

Total article views: 1,128 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
799 286 43 1,128 34 30
  • HTML: 799
  • PDF: 286
  • XML: 43
  • Total: 1,128
  • BibTeX: 34
  • EndNote: 30
Views and downloads (calculated since 10 Jul 2023)
Cumulative views and downloads (calculated since 10 Jul 2023)

Viewed (geographical distribution)

Total article views: 1,128 (including HTML, PDF, and XML) Thereof 1,059 with geography defined and 69 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 09 May 2024
Download
Short summary
Floods are significant natural disasters that affect people and property. This study uses a simplified terrain index and the latest lidar-derived digital elevation maps (DEMs) to investigate flood inundation extent quality. We examined inundation quality influenced by different spatial resolutions and other variables. Results showed that lidar DEMs enhance inundation quality, but their resolution is less impactful in our context. Further studies on reservoirs and urban flooding are recommended.
Read more