Calving Front Dataset for Marine-Terminating Glaciers in Svalbard 1985-2023 ...

• Main Authors: Li, Tian, Heidler, Konrad, Mou, Lichao, Ignéczi, Ádám, Zhu, Xiao Xiang, Bamber, Jonathan
• Format: Dataset
• Language: unknown
• Published: Zenodo 2023
• Subjects: Glacier; Calving; Svalbard; Arctic; Deep Learning; glacier; Global warming
• Online Access: https://dx.doi.org/10.5281/zenodo.8387050; https://zenodo.org/doi/10.5281/zenodo.8387050

Svalbard has experienced increased climate variability as a result of global warming, leading to significant mass loss in its marine-terminating glaciers over recent decades. Nevertheless, the mechanisms driving this mass loss remain less understood, primarily due to a limited understanding of calving dynamics. Here we present a new high-resolution calving front dataset of 149 marine-terminating glaciers in Svalbard, comprising 124919 glacier calving front positions during the period of 1985-2023. This dataset was generated using a novel automated deep learning framework and multiple optical and SAR satellite images from Landsat, Terra-ASTER, Sentinel-2, and Sentinel-1 satellite missions. The information regarding the glacier calving front terminal traces, glacier centrelines, glacier domains, fjord masks and the along-centreline glacier calving front change time series is consolidated into a single Geopackage file named "Svalbard_Calving_Front_Product.gpkg." The specific file structure for this data file is ...