Google Earth Engine(GEE)——北美苔原和北方森林的高分辨率水体数据集

北美苔原和北方森林的高分辨率水体数据集

前言 – 床长人工智能教程
这代表了北美高纬度地区的水体数据集(WBD-NAHL)。确定了近650万个水体,其中约有600万个(∼90%)小于0.1平方公里。该数据集提供了每个水体的面积和形态属性。在这项研究中,我们开发了一种自动检测地表水范围和识别10米分辨率Sentinel-2多光谱卫星数据中的水体的方法,以提高划定小水体及其形态属性的能力。该方法被应用于2019年获得的Sentinel-2数据,以产生北美整个苔原和寒带森林的水体数据集。该数据集比北美现有的区域数据集,如永久冻土区池塘和湖泊(PeRL),提供了一个更完整的代表区域。通过与整个地区随机取样地点的解释数据进行比较,WBD-NAHL数据集检测到的水体范围的总精度为96.36%。原始数据来源是国家青藏高原/第三极环境数据中心。

国家青藏高原科学数据中心

免责声明:数据集描述的全部或部分内容由作者或其作品提供。

参考文献

Sui, Yijie, Min Feng, Chunling Wang, and Xin Li. "A high-resolution inland surface water body dataset for the tundra and boreal forests of NorthAmerica." Earth System Science Data 14, no. 7 (2022): 3349-3363.
 

代码:

var wbd = ee.FeatureCollection("projects/sat-io/open-datasets/HYDRO/wbd_fixed_geoms");

Map.setCenter(-107.0832, 59.341, 10)
Map.addLayer(wbd, {"color":"#003366"}, "N. American boreal Water Body Dataset")

代码链接:

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

 

License and Usage

This dataset is shared under a Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) license. To respect the intellectual property rights, protect the rights of data authors, expand services of the data center, and evaluate the application potential of data, data users should clearly indicate the source of the data and the author of the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results). For re-posting (second or multiple releases) data, the author must also indicate the source of the original data.

Example of acknowledgement statement is included below: The data set is provided by National Tibetan Plateau Data Center (http://data.tpdc.ac.cn).

Curated by: Ethan D. Kyzivat & Samapriya Roy

Keywords: Hydrology, Boreal , Tundra, water body

Last updated: 2022-02-21

Last updated in GEE: 2023-02-22

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转载自blog.csdn.net/qq_31988139/article/details/129756023