GEE数据集：GLObal水深测量（GLOBathy）数据集，包括140多万个水体

​GLOBathy（全球湖泊测深数据集）

前言 – 床长人工智能教程
我们开发了一个新颖的GLObal水深测量（GLOBathy）数据集，包括140多万个水体，与完善的全球数据集HydroLAKES保持一致。GLOBathy使用一个基于GIS的框架，根据水体的最大深度估计和HydroLAKES水体的几何/地球物理属性来生成水深图。最大深度估算在1503个水体中得到了验证，利用了几个观测数据源。

我们还提供了HydroLAKES水体的水头-面积-体积（h-A-V）关系的估计，这些估计来自GLOBathy数据集的测深图。h-A-V关系为全球水体系统的水平衡和水文研究提供了重要信息。你可以在这里阅读论文全文

你可以在这里找到这些数据集

GLOBathy Bathymetry Rasters

免责声明：部分或全部数据集的描述是借用了作者提供的现有描述。

参考文献

Khazaei, B., Read, L.K., Casali, M. et al. GLOBathy, the global lakes bathymetry dataset. Sci Data 9, 36 (2022).
https://doi.org/10.1038/s41597-022-01132-9

数据引用

Khazaei, Bahram; Read, Laura K; Casali, Matthew; Sampson, Kevin M; Yates, David N (2022): GLOBathy Bathymetry Rasters. figshare.
Dataset. https://doi.org/10.6084/m9.figshare.13404635.v1

代码：

var globathy = ee.Image("projects/sat-io/open-datasets/GLOBathy/GLOBathy_bathymetry"),
    globathy_param = ee.FeatureCollection("projects/sat-io/open-datasets/GLOBathy/GLOBathy_basic_parameters");
var palettes = require('users/samapriya/utils:palettes');

// Use these visualization parameters, customized by location.
var visParams = {min: 1, max: 700, palette: palettes.extra.blkred};

// Note that the visualization image doesn't require visualization parameters.
Map.addLayer(globathy, visParams, 'ASTER GDEM');
Map.addLayer(globathy_param,{},'GLOBathy Basic Param',false)

 代码链接：

https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/GLOBathy

License¶

The dataset is released under an assumed CC0 1.0 Universal (CC0 1.0) Public Domain Dedication. The organizations responsible for generating and funding this dataset make no representations of any kind including, but not limited to the warranties of merchantability or fitness for a particular use, nor are any such warranties to be implied with respect to the data. Although every effort has been made to ensure the accuracy of information, errors may be reflected in data supplied. The user must be aware of data conditions and bear responsibility for the appropriate use of the information with respect to possible errors.

Produced by: Khazaei, B., Read, L.K., Casali, M. et al.

Curated in GEE by: Samapriya Roy

Keywords: bathymetry and depth, lake systems, reservoir management, Hydrological Modelling, Limnology, Geographic information systems (GIS), Geomorphology, topographic analysis

Last updated on GEE: 2022-01-26

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