A reference dataset of supraglacial lakes on Baltoro and Hispar glaciers in the Karakoram

This is a supraglacial lake dataset based on Sentinel-2 imagery for the Karakoram region. Specifically, the dataset contains supraglacial lake labels for the fall and spring seasons for both Baltoro Glacier (10,584 labels) for the years 2017-2022 and Hispar Glacier (1,821 labels) for the year 2024. These labels were created with the intent to be used as training data for deep learning models to segment supraglacial lakes from Sentinel-2 images. The motivation for creating this dataset was due to a lack of openly available datasets to train machine learning models for the specific purpose of monitoring supraglacial lakes in mountainous environments. Therefore, the provided dataset can either be used to train a machine learning model to identify supraglacial lakes from Sentinel-2 imagery or it can be used as a reference dataset to evaluate models trained on other glacial lake datasets. The supraglacial lake labels are provided as GeoPackage files which can be adjusted to the individual user's needs and then further processed into formats that can be used as input to a machine learning model. More detailed information on the dataset and its contents as well as the Sentinel-2 data used to create the labels can be found in the metadata file.