High-resolution Glacial Lake Inventory for the Southeastern Tibetan Plateau (2023) derived from Sentinel-2 imagery for "Mapping glacial lakes with Glacier-related Compact Efficient Neural Network (GCE-Net): Perspectives on Balancing Model Size and Performance"

This dataset presents a comprehensive high-resolution inventory of glacial lakes in the Southeastern Tibetan Plateau (SETP) for the year 2023. The inventory identifies a total of 6,455 glacial lakes, covering a combined surface area of 400.18 km². The dataset was generated using the Glacier-related Compact Efficient Neural Network (GCE-Net), a lightweight deep learning framework optimized for accurate glacial lake mapping in complex high-mountain environments. The results have undergone rigorous quality control, including NDWI filtering and manual visual inspection, ensuring high reliability for hydrological and hazard assessment applications. The inventory was derived from multi-source remote sensing data: Satellite Imagery: Sentinel-2 MSI imagery (10 m resolution) acquired in 2023 with <10% cloud cover. Data processing was conducted on the Google Earth Engine (GEE) platform.Topographic Data: Elevation and slope attributes were extracted from the Copernicus DEM (GLO-30) to provide precise terrain information.Model: The boundaries were automatically extracted using the GCE-Net model (ResNet-34 backbone with Ghost Modules and Efficient Channel Attention), followed by morphological post-processing. FILE STRUCTURE AND ATTRIBUTES The dataset is provided in ESRI Shapefile format (.shp). The attribute table includes the following fields: GL_ID: Unique identifier for each glacial lake instance. Longitude: Geodetic longitude of the lake centroid (Decimal Degrees). Latitude: Geodetic latitude of the lake centroid (Decimal Degrees). Area_sqkm: Surface area of the glacial lake in square kilometers. Perimeter: The length of the glacial lake boundary (in meters). Elev_Mean: Mean elevation of the lake surface (in meters), derived from Copernicus DEM. Slope_Mean: Mean slope of the lake area (in degrees), derived from Copernicus DEM. COORDINATE REFERENCE SYSTEM (CRS) The dataset uses the standard WGS 84 geographic coordinate system. Name: WGS 84 (Geographic 2D) EPSG Code: 4326 Datum: World Geodetic System 1984 ensemble Axis Units: degree (North Latitude / East Longitude)