Glacial lake inventory of High Mountain Asia

Glacial lake inventory of High Mountain Asia


The dataset integrated glacier inventory data and 426 Landsat TM/ETM+/OLI images, and adopted manual visual interpretation to extract glacial lake boundaries within a 10-km buffer from glacier terminals using ArcGIS and ENVI software, normalized difference water index maps, and Google Earth images. It was established that 26,089 and 28,953 glacial lakes in HMA, with sizes of 0.0054–5.83 km2, covered a combined area of 1692.74 ± 231.44 and 1955.94 ± 259.68 km2 in 1990 and 2018, respectively. The current glacial lake inventory provided fundamental data for water resource evaluation, assessment of glacial lake outburst floods, and glacier hydrology studies in the mountain cryosphere region.

数据使用方法

1. Name of Data
High_Asia_glacial_lake_1990.Shp
High_Asia_glacial_lake_2018.shp
2. Data description of attribute items
GLAKE_ID: The coding of glacial Lake
GL_Image: Information of source image
GL_Type: The type of glacial Lake
GL_SubR: The Sbu-region of glacial Lake in the HMA
GL_Time: The acquisition date of the original Landsat image
GL_Elev: The average elevation of glacial lake (m)
GL_Area: The area of glacial lake (m2)
GL_Peri: The Perimeter of glacial lake (m)
GL_A_Error: The error of glacial lake area (m2)
GL_Long: The longitude of center point of the glacial lakes (°)
GL_Lati: The latitude of center point of the glacial lakes (°)


本数据要求的引用方式
数据的引用

WANG Xin, GUO Xiaoyu, YANG Chengde, LIU Qionghuan, WEI Junfeng, ZHANG Yong, LIU Shiyin, ZHANG Yanlin, JIANG Zongli, TANG Zhiguang. (2019). Glacial lake inventory of High Mountain Asia. 时空三极环境大数据平台, 2019. doi: 10.11888/Glacio.tpdc.270919.
[Wang, X., Guo, X., Yang, C., Liu, Q., Wei, J., Zhang, Y., Liu, S., Zhang, Y., Jiang, Z., Tang, Z. (2019). Glacial lake inventory of High Mountain Asia. A Big Earth Data Platform for Three Poles, 2019]

使用本数据时必须引用“文章的引用”中列出的文献,并进行数据的引用

使用条款

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the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results).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.

License: This work is licensed under an Attribution 4.0 International (CC BY 4.0)



资助项目

国家自然科学基金

国家自然科学基金项目

国家自然科学基金项目

相关资源

1. 2022-04-10 None 185.191.171.25 用途:免登录下载

2. 2022-04-09 None 218.75.230.7 用途:免登录下载

3. 2022-04-08 None 111.225.149.214 用途:免登录下载

4. 2022-04-07 None 182.119.166.97 用途:免登录下载

5. 2022-04-06 None 123.149.76.56 用途:免登录下载

6. 2022-04-06 None 162.55.86.62 用途:免登录下载

7. 2022-04-05 None 171.8.173.106 用途:免登录下载

8. 2022-03-31 None 171.8.173.37 用途:免登录下载

9. 2022-03-31 None 180.116.99.226 用途:免登录下载

10. 2022-03-28 None 40.77.167.1 用途:免登录下载

11. 2022-03-27 None 171.8.172.101 用途:免登录下载

12. 2022-03-25 None 123.149.79.16 用途:免登录下载

13. 2022-03-25 None 171.8.173.187 用途:免登录下载

14. 2022-03-22 None 40.77.167.1 用途:免登录下载

15. 2022-03-21 None 222.137.118.130 用途:免登录下载

16. 2022-03-18 None 125.41.241.142 用途:免登录下载

17. 2022-03-17 None 106.110.207.201 用途:免登录下载

18. 2022-03-14 None 125.46.246.205 用途:免登录下载

19. 2022-03-14 None 106.11.156.70 用途:免登录下载

20. 2022-03-12 None 123.149.78.78 用途:免登录下载

数据评论

登录 后可以添加数据评论。

关注
关键词
空间位置
East: 104.00 West: 68.00
South: 27.00 North: 55.00
数据细节
  • 时间分辨率:Yearly
  • 空间分辨率:10m - 100m
  • 大小:63.23 MB
  • 浏览:2223 次
  • 下载量:141 次
  • 共享方式: 开放获取
  • 元数据更新时间:2021-04-19
附件信息
联系信息

WANG Xin、 GUO Xiaoyu、 YANG Chengde、 LIU Qionghuan、 WEI Junfeng、 ZHANG Yong、 LIU Shiyin、 ZHANG Yanlin、 JIANG Zongli、 TANG Zhiguang

分发方: 时空三极环境大数据平台

Email: poles@itpcas.ac.cn

导出元数据