Data product of Greenland glacier calving front locations delineated by deep learning, 2013 to 2021

Abstract

Glacier calving front positions are derived by applying a deep learning method to multispectral Landsat-8 imagery. The product contains 9243 calving front positions across 23 Greenland outlet glaciers from March 2013 to December 2021. Calving front positions are stored in ESRI shapefile format. Due to the high temporal resolution of this data product, mostly achieving sub-weekly sampling outside polar night, it provides unique opportunities to study seasonal and sub-seasonal terminus changes. The quality of these automatically extracted calving front locations has been validated against three independent validation datasets and is comparable to that of manually digitised fronts. The following glaciers are included in this data product: Kangiata Nunaata Sermia, Helheim Glacier, Kangerdlussuaq Glacier, Jakobshavn Isbræ, Eqip Sermia, Store Glacier, Rink Isbræ, Daugaard Jensen Glacier, Ingia Isbræ, Upernavik Isstrøm, Waltershausen Glacier, Hayes Glacier, Sverdrup Glacier, Kong Oscar Glacier, Døcker Smith Glacier, Harald Molke Bræ, Tracy Glacier, Humboldt Glacier, Zachariae Isstrøm, Nioghalvfjerdsbræ, Hagen Bræ, Academy Glacier and Ryder Glacier.