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

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

doi:https://doi.org/10.5194/hess-28-1287-2024

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

Data sets

Data and Software for Effects of High-Quality Elevation Data and Explanatory Variables on the Accuracy of Flood Inundation Mapping via Height Above Nearest Drainage F. Aristizabal et al. https://doi.org/10.4211/hs.3d98a9e5a6d84020b72800fd27c87f9a

Model code and software

NOAA-OWP/inundation-mapping F. Aristizabal et al. https://github.com/NOAA-OWP/inundation-mapping

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.