Articles | Volume 15, issue 11
Research article
01 Nov 2021
Research article |  | 01 Nov 2021

Image classification of marine-terminating outlet glaciers in Greenland using deep learning methods

Melanie Marochov, Chris R. Stokes, and Patrice E. Carbonneau

Data sets

Sentinel-2 imagery Copernicus Open Access Hub

Model code and software

SEE_ICE: Glacial landscape classification with deep learning Patrice Carbonneau and Melanie Marochov

CNN-Supervised-Classification (1.1) Patrice Carbonneau and James Dietrich

Short summary
Research into the use of deep learning for pixel-level classification of landscapes containing marine-terminating glaciers is lacking. We adapt a novel and transferable deep learning workflow to classify satellite imagery containing marine-terminating outlet glaciers in Greenland. Our workflow achieves high accuracy and mimics human visual performance, potentially providing a useful tool to monitor glacier change and further understand the impacts of climate change in complex glacial settings.