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

Lookup NU author(s): Professor Neil RossORCiD

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

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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.]

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