SHIFT: A DEM-Based Spatial Heterogeneity Improved Mapping of Global Geomorphic Floodplains
Authors/Creators
Description
Description
SHIFT (Spatial Heterogeneity Improved Floodplain by Terrain analysis) is a 90-m resolution global geomorphic floodplain map based on terrain analysis. It takes MERIT-Hydro as the terrain input and Floodplain Hydraulic Geometry (FHG) as the thresholding scheme, with the scaling parameters estimated by a stepwise framework that both respects the power law and approximates the spatial extent of hydrodynamic modeling. SHIFT effectively captures the global patterns of the geomorphic floodplains, with better regional details than existing data.
Data Structure
We provide 2 resolutions of data for different needs.
- SHIFT_v1_90m: The original SHIFT data derived from MERIT-Hydro, currently lakes and reservoirs are not removed. The resolution is 0.000833333333333 degrees under geographic coordinate system (EPSG:4326), approximately 90 meters at the equator. Pixels with value 1 are floodplains and 0 are non-floodplains, with empty values set as 255 (denoting pixels not within any watersheds under the threshold of ).
- SHIFT_v1_1km: The resampled SHIFT data with lakes and reservoirs marked. The resolution is 0.00833333333333 degrees under geographic coordinate system (EPSG:4326), approximately 1 km at the equator. Pixels with value 1 are floodplains, 2 are lakes and reservoirs and 0 are non-floodplains, with empty values set as 255 (denoting pixels not within any watersheds under the threshold of ).
For more details, please refer to:
Zheng, K., Lin, P., and Yin, Z.: SHIFT: A DEM-Based Spatial Heterogeneity Improved Mapping of Global Geomorphic Floodplains, [Preprint], 29 December 2023.
Contacts
- Kaihao Zheng, Mostaly@pku.edu.cn
- Peirong Lin, peironglinlin@pku.edu.cn
Files
SHIFT_v1_1km.tif
Files
(570.3 MB)
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Additional details
Dates
- Submitted
-
2023-12-29
References
- Zheng, K., Lin, P.*, and Yin, Z.: SHIFT: A DEM-Based Spatial Heterogeneity Improved Mapping of Global Geomorphic Floodplains, Earth Syst Sci Data Discuss, 2024, 1–29, https://doi.org/10.5194/essd-2023-540, 2024