Toggle Main Menu Toggle Search

Open Access padlockePrints

The Newcastle University research output collection, currently available on ePrints, will shortly be moving to a new open repository platform, Figshare. To prepare for the data migration we have paused adding new content to ePrints, and will resume once the new repository is launched. During this time you will continue to have access to ePrints (but no new content will appear). We will share updates here when available.

Continental-Scale Machine-Learning Classification of Arctic Glacial Landscapes Using Simple Morphometrics

Lookup NU author(s): Professor Neil RossORCiD

Downloads

Licence

This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).

Publication metadata

Author(s): Lea EJ, Paxman GJG, Clubb FJ, Ross N

Publication type: Article

Publication status: Published

Journal: Journal of Geophysical Research: Earth Surface

Year: 2026

Volume: 131

Issue: 5

Online publication date: 21/05/2026

Acceptance date: 29/04/2026

Date deposited: 27/05/2026

ISSN (print): 2169-9003

ISSN (electronic): 2169-9011

Publisher: John Wiley and Sons Inc.

URL: https://doi.org/10.1029/2025JF008661

DOI: 10.1029/2025JF008661

Data Access Statement: Code used in this study for the calculation of morphometrics and random forest classification was written in Matlab 2023a, and is made available, along with pre-processed ArcticDEM mosaic data, and all code and model outputs, on Zenodo (Lea & Paxman, 2025). [For the full data and code availability statement, please see the article.]

Altmetrics

Altmetrics provided by Altmetric

Funding

Funder referenceFunder name
Natural Environment Research Council IAPETUS2 DTP studentship (NE/S007431/1)

Share