A high-resolution annotated dataset of melt ponds on Arctic sea ice derived from Operation IceBridge aerial imagery

This dataset is a semantic segmentation dataset of Arctic sea ice based on deep learning method from Operation IceBridge images. It contains 29,372 labeled images, each of which corresponds to an image of Operation IceBridge and are stored in TIFF format. The dataset can be accessed using ArcGIS, ENVI, and the GDAL library in Python easily. Where label 1 represents melt ponds, label 2 represents sea ice/snow, label 3 represents submerged ice, and label 4 represents open ocean water, respectively.