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.
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.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
28 Aug 2024
Data description paper |
| 28 Aug 2024
| 28 Aug 2024
SHIFT: a spatial-heterogeneity improvement in DEM-based mapping of global geomorphic floodplains
Kaihao Zheng
Institute of Remote Sensing and Geographic Information System, School of Earth and Space Sciences, Peking University, Beijing, China
Southwest United Graduate School, Kunming, China
Institute of Remote Sensing and Geographic Information System, School of Earth and Space Sciences, Peking University, Beijing, China
International Research Center of Big Data for Sustainable Development Goals, Beijing, China
Ziyun Yin
Institute of Remote Sensing and Geographic Information System, School of Earth and Space Sciences, Peking University, Beijing, China
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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.
We develop a globally applicable thresholding scheme for DEM-based floodplain delineation to...
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