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SHIFT: A DEM-Based Spatial Heterogeneity Improved Mapping of Global Geomorphic Floodplains

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Zenodo2024-12-09 更新2026-05-26 收录
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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

### 数据集说明 SHIFT(基于地形分析优化空间异质性的河漫滩数据集,Spatial Heterogeneity Improved Floodplain by Terrain analysis)是一款分辨率为90米的全球地貌河漫滩分布图,其构建基于地形分析方法。该数据集以MERIT-Hydro作为地形输入数据源,以河漫滩水力几何特征(Floodplain Hydraulic Geometry, FHG)作为阈值划分方案,其缩放参数通过兼顾幂律分布特征并近似水动力模拟空间范围的逐步回归框架估算得到。SHIFT能够有效捕捉全球地貌河漫滩的分布格局,相较于现有同类数据集具备更优异的区域细节表现。 ### 数据结构 为适配不同应用需求,本数据集提供两种分辨率版本。 SHIFT_v1_90m:基于MERIT-Hydro衍生的原始SHIFT数据集,暂未剔除湖泊与水库水体。该数据采用地理坐标系(EPSG:4326),分辨率为0.000833333333333度,在赤道处近似90米。数据中像素值为1代表河漫滩区域,0代表非河漫滩区域,空值设为255(表示未落入该阈值范围内的任何流域的像素)。 SHIFT_v1_1km:经过重采样处理的SHIFT数据集,已标记湖泊与水库水体。该数据采用地理坐标系(EPSG:4326),分辨率为0.008333333333333度,在赤道处近似1千米。数据中像素值为1代表河漫滩区域,2代表湖泊与水库水体,0代表非河漫滩区域,空值设为255(表示未落入该阈值范围内的任何流域的像素)。 如需获取更多详细信息,请参阅: Zheng, K., Lin, P., and Yin, Z.: SHIFT:基于数字高程模型的空间异质性优化全球地貌河漫滩制图,[预印本],2023年12月29日。 ### 联系方式 郑凯豪,Mostaly@pku.edu.cn 林佩荣,peironglinlin@pku.edu.cn

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创建时间:
2023-12-29
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