GEE数据集：全球水文地理90米图层
水文地理90米图层
Hydrography 90层利用MERIT Hydro数字高程模型在3角秒处（赤道90米∼）得出全球无缝、标准化的水文网络，即 "Hydrography90m"，以及相应的河流地形和地貌信息。该网络的一个核心特征是最小的上游贡献区，即流量积累，为0.05平方公里（或5公顷），以启动一条河道，这使我们能够非常详细地提取上游河道。
数据验证程序证实，与HydroRIVERS、GRWL和MERIT Hydro-Vector相比，Hydrography90m对溪流网络的表述更为准确。准确度的提高主要是通过采用更高分辨率的DEM、MD8流量路由算法和明显较小的流量累积阈值来启动河道来实现的。凭借这些特点，Hydrography90m为支持各种淡水相关的研究学科提供了宝贵的基础。在这里可以找到论文中的其他细节。数据集可在此下载。
这是分辨率最高的全球水文地理数据集之一，具有多种用途。
免责声明：数据集的全部或部分描述是由作者或其作品提供的。
数据集预处理
水文数据集可以在这里下载。
文件夹是根据论文的描述重新命名的，包括在下面的表格中。参数名称保持一致，并根据需要提供额外的信息，以及上述参数的单位。
文献：
Amatulli, Giuseppe, Jaime Garcia Marquez, Tushar Sethi, Jens Kiesel, Afroditi Grigoropoulou, Maria M. Üblacker, Longzhu Q. Shen, and Sami Domisch."Hydrography90m: A new high-resolution global hydrographic dataset." Earth System Science Data 14, no. 10 (2022): 4525-4550.
数据结构：流域-网络-图层
Hydrography90m的基础层和网络层：流积、流向、排水流域、出口、河段、子流域、区域单位和洼地
| Output map description | Unit | GEE Collection Name |
|---|---|---|
| Flow accumulation (raster) | km2 accumulation=acc | flow_accumulation |
| Flow direction (raster) | NE–N–NW–W–SW–S–SE–E correspond to 1–2–3–4–5–6–7–8 | flow__direction |
| Drainage basin (raster) | IDs from 1 to 1 676 628 | drainage_basin |
| Outlets (raster) | ID=1 stream_vector=stream threshold=0.05; v.to.rast input=stream | outlet |
| Depression (raster) | ID = 1 | depression |
| Stream segment (raster) | IDs from 1 to 726 723 221 | segment |
| Sub-catchment (raster) | IDs from basins=sub_catchment | sub_catchment |
| Regional unit (raster) | IDs from 1 to 116 IDs from 150 to 200 | regional_unit |
代码：
var flow_accumulation = ee.ImageCollection("projects/sat-io/open-datasets/HYDROGRAPHY90/base-network-layers/flow_accumulation"),
flow_direction = ee.ImageCollection("projects/sat-io/open-datasets/HYDROGRAPHY90/base-network-layers/flow_direction"),
depression = ee.ImageCollection("projects/sat-io/open-datasets/HYDROGRAPHY90/base-network-layers/depression"),
drainage_basin = ee.ImageCollection("projects/sat-io/open-datasets/HYDROGRAPHY90/base-network-layers/drainage_basin"),
outlet = ee.ImageCollection("projects/sat-io/open-datasets/HYDROGRAPHY90/base-network-layers/outlet"),
regional_unit = ee.ImageCollection("projects/sat-io/open-datasets/HYDROGRAPHY90/base-network-layers/regional_unit"),
segment = ee.ImageCollection("projects/sat-io/open-datasets/HYDROGRAPHY90/base-network-layers/segment"),
sub_catchment = ee.ImageCollection("projects/sat-io/open-datasets/HYDROGRAPHY90/base-network-layers/sub_catchment"),
flowAccumulationVis = {"min":0,"max":237,"palette":["000000","023858","006837","1a9850","66bd63","a6d96a","d9ef8b","ffffbf","fee08b","fdae61","f46d43","d73027"]},
drainageDirectionVis = {"min":1,"max":8,"palette":["#d53e4f","#f46d43","#fdae61","#fee08b","#e6f598","#abdda4","#66c2a5","#3288bd"]};
var style = require('users/gena/packages:style')
Map.setCenter(-121.652, 38.022,11);
style.SetMapStyleGrey()
//flow accumulation
var flowAccumulation = flow_accumulation.mosaic().select('b1');
//flow direction
var drainageDirection = flow_direction.mosaic().select('b1');
Map.addLayer(drainageDirection, drainageDirectionVis, 'Drainage Direction',false);
Map.addLayer(flowAccumulation, flowAccumulationVis, 'Flow Accumulation',false);
Map.addLayer(sub_catchment.mosaic().randomVisualizer(),{},'Sub catchment',false)
Map.addLayer(segment.mosaic().randomVisualizer(),{},'Segment',false)
代码链接：
GEE数据集：全球Hydrography90m对溪流网数据集
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