Inventory of Glacial Lakes in High Mountain Asia for the Years 2016 and 2022
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| Auteurs principaux: | , |
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| Format: | Dataset Open Access |
| Langue: | en |
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PANGAEA
2026
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| _version_ | 1867170136332435456 |
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| author | Kumar, Ravindra Vijay, Saurabh |
| author_facet | Kumar, Ravindra Vijay, Saurabh |
| collection | Datos científicos de ciencias marinas y ambientales |
| contents | We have developed an updated and comprehensive inventory of glacial lakes across High Mountain Asia (HMA) for the year 2022, identifying a total of 31,698 glacial lakes. This inventory was created by integrating multi-source remote sensing datasets, including Landsat-8, Sentinel-1, Sentinel-2, and the Copernicus DEM. We achieved a high detection accuracy of 96% for smaller glacial lakes (20,000–100,000 m²) and successfully detected all larger glacial lakes with high delineation accuracy. Additionally, we generated median lake boundaries for two epochs (2016 and 2022) by using median composites of all available imagery for each period to minimize the influence of seasonal variations in lake extents. This database can serve as a valuable resource for monitoring GLOFs, downstream risk assessment, and water resource management in the region. |
| format | Dataset Open Access |
| id | pangaea_https___doi_org_10_1594_PANGAEA_983845 |
| institution | PANGAEA |
| language | en |
| publishDate | 2026 |
| publisher | PANGAEA |
| record_format | pangaea |
| spellingShingle | Inventory of Glacial Lakes in High Mountain Asia for the Years 2016 and 2022 Kumar, Ravindra Vijay, Saurabh Binary Object; Binary Object (File Size); Binary Object (MD5 Hash); Binary Object (Media Type); Event label; Glacial_Lake_2016_median; Glacial_Lake_2022; Glacial_Lake_2022_median; glacial lake; glacial lakes; High Mountain Asia; High-resolution multispectral imager, European Space Agency, Sentinel-2; Himalaya; Inventory; Latitude of event; Latitude of event 2; Longitude of event; Longitude of event 2 We have developed an updated and comprehensive inventory of glacial lakes across High Mountain Asia (HMA) for the year 2022, identifying a total of 31,698 glacial lakes. This inventory was created by integrating multi-source remote sensing datasets, including Landsat-8, Sentinel-1, Sentinel-2, and the Copernicus DEM. We achieved a high detection accuracy of 96% for smaller glacial lakes (20,000–100,000 m²) and successfully detected all larger glacial lakes with high delineation accuracy. Additionally, we generated median lake boundaries for two epochs (2016 and 2022) by using median composites of all available imagery for each period to minimize the influence of seasonal variations in lake extents. This database can serve as a valuable resource for monitoring GLOFs, downstream risk assessment, and water resource management in the region. |
| title | Inventory of Glacial Lakes in High Mountain Asia for the Years 2016 and 2022 |
| topic | Binary Object; Binary Object (File Size); Binary Object (MD5 Hash); Binary Object (Media Type); Event label; Glacial_Lake_2016_median; Glacial_Lake_2022; Glacial_Lake_2022_median; glacial lake; glacial lakes; High Mountain Asia; High-resolution multispectral imager, European Space Agency, Sentinel-2; Himalaya; Inventory; Latitude of event; Latitude of event 2; Longitude of event; Longitude of event 2 |
| url | https://doi.org/10.1594/PANGAEA.983845 |