The Predictive Skill of a Remote Sensing-Based Machine Learning Model for Ice Wedge and Visible Ground Ice Identification in Western Arctic Canada

Fine-scale maps of ground ice and related surface features are critical for permafrost-related modelling and management. However, such maps are lacking across almost the entire Arctic. Machine learning provides the potential to automate regional fine-scale ground ice mapping using remote sensing and...

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Bibliographic Details

Published in:	Remote Sensing
Main Authors:	Qianyu Chang, Simon Zwieback, Aaron A. Berg
Format:	Article
Language:	English
Published:	MDPI AG 2025-04-01
Subjects:	ice wedge remote sensing machine learning ground ice
Online Access:	https://www.mdpi.com/2072-4292/17/7/1245