Glacial Lake Inventory of the Hindu Kush-Himalaya (Pakistan)
PlanetScope Imagery
This dataset contains 8,808 glacial lake boundaries (total area: ~136 km²) mapped from PlanetScope satellite imagery (September 2020) across the Hindu Kush-Himalaya (HKH) region of Pakistan. The lakes were delineated manually with careful inspection, as part of a broader effort to monitor cryospheric hazards (e.g., GLOF risks) in the HKH. This work is supported by the National Geographic Society and Microsoft through its "AI for Earth Innovation" program. The imagery used in this work is a Planet Labs product - 2023 PBC., and has been accessed freely under their education and research support program. The inventory is provided as ESRI shapefiles (inside a zipped folder). The CRS is EPSG:4326. The column "Shape_Area" in the attributes table provides lake areas in square meters.
Funded by: National Geographic Society
To download the dataset, please visit https://zenodo.org/records/15476013
Glacial Lakes Detection Dataset
Sentinel-2 True Color Imagery
Glacial lake outburst floods (GLOFs) are a major threat to the local communities and important infrastructures in the high mountain regions. Early detection of glacial lakes can prevent these disastrous events. Towards this end, we collected Sentinel 2 true color scenes of High-Mountain Asia (HMA) region using glacial lakes inventory of this region. It covers an area of 2080.12 km² with nearly 30,121 glacial lakes. After data collection, we retained 1200 cloud free true color images and manually generated their ground truth masks. The train and test sets contain 1000 and 200 images, respectively. The dataset covers lakes with different shapes, sizes and radiometric signatures.
Funded by: National Geographic Society and Microsoft
To download the dataset, please visit https://ieee-dataport.org/documents/glacial-lakes-detection-dataset
All datasets on this page are provided strictly for academic and non-commercial research purposes. Users must cite the original dataset using its assigned Digital Object Identifier (DOI), and, where applicable, also reference the related publication. Redistribution is not allowed; please link directly to the official DOI. Use in commercial or governmental projects requires prior written permission.