本数据集是一份基于地形分析的90米分辨率全球河漫滩地貌地图。该方法以MERIT-Hydro作为地形输入，以Floodplain Hydraulic Geometry (FHG)作为阈值方案，采用一种既尊重幂律又近似水动力建模空间范围的逐步框架估计尺度参数。SHIFT有效地捕获了地貌洪泛平原的全球格局，比现有数据具有更好的区域细节。
\n本数据集提供2种分辨率的数据以满足不同的需求。
\nSHIFT_v1_90m：源自MERIT-Hydro的原始SHIFT数据，目前未移除湖泊和水库。在地理坐标系(EPSG:4326)下，分辨率为0.000833333333333度，在赤道处约为90米。值为1的像素为洪泛平原，0为非洪泛平原，空值设为255(表示阈值为以下的像素不在任何流域内)。
\nSHIFT_v1_1km:重新采样的SHIFT数据，标记湖泊和水库。在地理坐标系(EPSG:4326)下，分辨率为0.00833333333333度，在赤道处约为1公里。值为1的像素为洪泛平原，2为湖泊和水库，0为非洪泛平原，空值设为255(表示阈值以下的像素不在任何流域内)。", "ds_source": "
MERIT-Hydro的原始SHIFT数据和重新采样的SHIFT数据。", "ds_process_way": "
具体来说，我们为全球269个流域开发了一种逐步估算洪泛区水力几何（FHG）缩放参数的方法，以最好地遵守缩放规律，同时近似于两个公开可用的、由水动力建模得出的全球洪水地图的空间范围。根据空间变化的FHG参数，绘制了约90米分辨率的全球洪泛区地图，名为 “通过地形分析改进空间异质性洪泛区”（SHIFT），该地图以水文校正后的MERIT-Hydro 数据集作为 DEM 输入，以最近排水沟以上高度（HAND）作为地形属性。", "ds_quality": "
我们的结果表明，SHIFT与参考地图的验证结果良好，总体精度超过0.85。同时，SHIFT与其他几个独立的水动力建模和基于DEM方法的数据集也显示出卓越的一致性。与现有数据相比，SHIFT能有效捕捉洪泛区地貌的全球模式，并提供更好的区域细节。估计的FHG指数与流域的气候干旱条件呈显著正相关，尤其是在34个世界主要河流流域，这表明缩放指数能够捕捉更多的空间异质性。", "ds_acq_start_time": "2023-01-01 00:00:00", "ds_acq_end_time": "2023-12-31 00:00:00", "ds_acq_place": "全球", "ds_acq_lon_east": 180.0, "ds_acq_lat_south": -90.0, "ds_acq_lon_west": -180.0, "ds_acq_lat_north": 90.0, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 273560942, "ds_files_count": 2, "ds_format": "tiff", "ds_space_res": "90m、1000m", "ds_time_res": "", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "a794a6c5-8d14-42f2-9373-c1b39454eb45.png", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "0a4269e1-65f4-45f1-aeba-88ea3068eebf", "ds_serv_man": "敏玉芳", "ds_serv_phone": "0931-4967596", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.45" ], "quality_level": 3, "publish_time": "2024-05-21 15:29:59", "last_updated": "2026-01-14 11:05:19", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.ZENODO.DB6469.2024", "i18n": { "en": { "title": "SHIFT：A DEM BASED SPACE HETEROGENEITY IMPROVED MAPPING OF GLOBAL GEOMORPHIC FLOODPLAINS", "ds_format": "tiff", "ds_source": "
MERIT Hydro's raw SHIFT data and resampled SHIFT data.", "ds_quality": "
Our results indicate that the validation of SHIFT against the reference map is good, with an overall accuracy of over 0.85. Meanwhile, SHIFT has shown excellent consistency with several other independent hydrodynamic modeling and DEM based datasets. Compared with existing data, SHIFT can effectively capture global patterns of floodplain topography and provide better regional details. The estimated FHG index is significantly positively correlated with the climate and drought conditions in the watershed, especially in 34 major river basins around the world, indicating that scaling indices can capture more spatial heterogeneity.", "ds_ref_way": "", "ds_abstract": "
This dataset is a 90 meter resolution global river floodplain landform map based on terrain analysis. This method takes MERIT Hydro as the terrain input and Floodplain Hydraulic Geometry (FHG) as the threshold scheme, using a stepwise framework that respects both power law and approximate hydrodynamic modeling spatial range to estimate scale parameters. SHIFT effectively captures the global pattern of flood plains with better regional details than existing data.
\nThis dataset provides data in two different resolutions to meet different needs.
\nSHIFT_v1_90m: Originating from the original SHIFT data of MERIT Hydro, lakes and reservoirs have not been removed yet. In the geographic coordinate system (EPSG: 4326), the resolution is 0.0008333333333 degrees, approximately 90 meters at the equator. A pixel with a value of 1 is a floodplain, 0 is a non floodplain, and a null value of 255 (indicating that pixels below the threshold are not within any watershed).
\nSHIFT_v1_1km: Resampled SHIFT data, marking lakes and reservoirs. In the geographic coordinate system (EPSG: 4326), the resolution is 0.008333333333333 degrees, approximately 1 kilometer at the equator. Pixels with a value of 1 are flood plains, 2 are lakes and reservoirs, 0 is non flood plains, and a null value of 255 (indicating that pixels below the threshold are not within any watershed).
", "ds_time_res": "", "ds_acq_place": "Global", "ds_space_res": "90m、1000m", "ds_projection": "", "ds_process_way": "Specifically, we have developed a method for gradually estimating flood zone hydraulic geometry (FHG) scaling parameters for 269 watersheds worldwide, in order to best adhere to scaling rules while approximating the spatial range of two publicly available global flood maps derived from hydrodynamic modeling. Based on the FHG parameters of spatial variation, a global floodplain map with a resolution of about 90 meters was drawn, called \"Improving Spatial Heterogeneity Floodplain through Terrain Analysis\" (SHIFT). The map takes the hydrological corrected MERIT Hydro dataset as the DEM input and the height above the nearest drainage ditch (HAND) as the terrain attribute.", "ds_ref_instruction": "" } }, "submit_center_id": "ncdc", "data_level": 0, "license_type": "CC BY 4.0", "doi_reg_from": "reg_outside", "cstr_reg_from": "reg_outside", "doi_not_reg_reason": null, "cstr_not_reg_reason": null, "is_paper_in_submitting": false, "ds_topic_tags": [ "DEM", "MERIT-Hydro", "SHIFT数据" ], "ds_subject_tags": [ "地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "全球" ], "ds_time_tags": [ 2023 ], "ds_contributors": [ { "true_name": "林佩蓉", "email": "peironglinlin@pku.edu.cn", "work_for": "北京大学", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "林佩蓉", "email": "peironglinlin@pku.edu.cn", "work_for": "北京大学", "country": "中国" } ], "ds_managers": [ { "true_name": "林佩蓉", "email": "peironglinlin@pku.edu.cn", "work_for": "北京大学", "country": "中国" } ], "category": "基础地理" }