Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 16, issue 8
Articles | Volume 16, issue 8
https://doi.org/10.5194/essd-16-3873-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-16-3873-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 8
Data description paper
 | 
28 Aug 2024
Data description paper |  | 28 Aug 2024

SHIFT: a spatial-heterogeneity improvement in DEM-based mapping of global geomorphic floodplains

Kaihao Zheng, Peirong Lin, and Ziyun Yin

Viewed

Total article views: 2,306 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,715 508 83 2,306 76 94 111
  • HTML: 1,715
  • PDF: 508
  • XML: 83
  • Total: 2,306
  • Supplement: 76
  • BibTeX: 94
  • EndNote: 111
Views and downloads (calculated since 15 Jan 2024)
Cumulative views and downloads (calculated since 15 Jan 2024)

Viewed (geographical distribution)

Total article views: 2,306 (including HTML, PDF, and XML) Thereof 2,263 with geography defined and 43 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 17 Sep 2025
Download
Short summary
We develop a globally applicable thresholding scheme for DEM-based floodplain delineation to improve the representation of spatial heterogeneity. It involves a stepwise approach to estimate the basin-level floodplain hydraulic geometry parameters that best respect the scaling law while approximating the global hydrodynamic flood maps. A ~90 m resolution global floodplain map, the Spatial Heterogeneity Improved Floodplain by Terrain analysis (SHIFT), is delineated with demonstrated superiority. 
Read more
Share
Altmetrics
Final-revised paper
Preprint