CALFIN: Calving front dataset for East/West Greenland, 1972-2019

We collect our source data from Landsat NIR band images spanning from 1972 to 2019. We provide 1997 manually-masked calving fronts, which we use for training, validating, and testing our automated algorithm. We also provide over 17912 automatically generated fronts, along with estimated mean errors calculated for each basin. This dataset contains a total of 19909 calving fronts for Helheim, Kangerlussuaq, Kong Oscar, Hayes, Rink Isbrae, Upernavik, Jakobshavn, Petermann, Kangiata Nunaata, and 62 other nearby glaciers along East/West Greenland. We process our source data by utilizing deep learning, in the form of the Google DeeplabV3+ Xception derived CALFIN Neural Network. Additional post-processing techniques allow our method to achieve accurate and useful segmentation of raw Landsat subsets into Shapefile outputs.