Articles | Volume 18, issue 7
https://doi.org/10.5194/essd-18-5143-2026
https://doi.org/10.5194/essd-18-5143-2026
Data description article
 | 
21 Jul 2026
Data description article |  | 21 Jul 2026

Glacial Lake Observatory (GLO): annual dataset of glacial lakes in Nepal and transboundary catchments (2017–2024)

Lauren D. Rawlins, C. Scott Watson, Rakesh Bhambri, Nitesh Khadka, and Mohan B. Chand

Data sets

Datasets supporting - Glacial Lake Observatory (GLO): A dataset of glacial lakes in Nepal and transboundary catchments (2017–2024) Lauren D. Rawlins et al. https://doi.org/10.5281/zenodo.17802333

Model code and software

Datasets supporting - Glacial Lake Observatory (GLO): A dataset of glacial lakes in Nepal and transboundary catchments (2017–2024) Lauren D. Rawlins et al. https://doi.org/10.5281/zenodo.17802333

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Short summary

Glacial lakes are expanding as glaciers melt in High Mountain Asia. These lakes store meltwater but can trigger dangerous outburst floods (GLOFs), threatening downstream communities. Using satellite imagery and deep learning, we mapped lakes across the Nepal-transboundary region (2017–2024) and found rapid growth, especially in the Koshi basin. This research supports the Glacial Lake Observatory, which will enable long-term monitoring and hazard reduction.

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