Pan-European dataset for glacier facies classification

The dataset includes 137592 manually annotated point labels and the corresponding image stacks collected on 92 Landsat and Sentinel-2 scenes covering 31 glaciers across the Alps, Pyrenees, Scandinavia, Iceland and Svalbard. Eight surface classes are provided: ice, snow, firn, debris, refrozen-like ice, shadow, water and cloud. Labels were produced by three expert glaciologists and refined through a cross-check procedure involving harmonisation of ambiguous transitions and addition of points in sparsely sampled areas. Pre- and post-cross-check label sets are included, along with acquisition metadata to facilitate reproducibility. The dataset is intended as a benchmark for automated glacier facies mapping and for developing machine learning or remote sensing algorithms under diverse glaciological and radiometric conditions. Please cite the accompanying paper when using these data. To cite this dataset, please follow the instructions at https://github.com/konstantin-a-maslov/glacier_facies_classification